From 5bf633c3d7b4b979aebe81c3f3a52420c232056c Mon Sep 17 00:00:00 2001
From: Yulia <etwaswie@gmail.com>
Date: Wed, 22 Nov 2023 17:00:10 +0300
Subject: [PATCH 1/2] Add a notebook with a metrics

---
 Recsys_02.ipynb | 2244 +++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 2244 insertions(+)
 create mode 100644 Recsys_02.ipynb

diff --git a/Recsys_02.ipynb b/Recsys_02.ipynb
new file mode 100644
index 00000000..42017d50
--- /dev/null
+++ b/Recsys_02.ipynb
@@ -0,0 +1,2244 @@
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+    {
+      "cell_type": "code",
+      "source": [
+        "!pip -q install rectools"
+      ],
+      "metadata": {
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+        },
+        "id": "OX06xQ2FWS43",
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+      "outputs": [
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+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m99.0/99.0 kB\u001b[0m \u001b[31m2.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m8.9/8.9 MB\u001b[0m \u001b[31m77.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25h"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 3,
+      "metadata": {
+        "id": "p7NMna_cVQxG"
+      },
+      "outputs": [],
+      "source": [
+        "import time\n",
+        "import logging\n",
+        "import requests\n",
+        "import pprint\n",
+        "from copy import deepcopy, copy\n",
+        "from typing import Dict, List, Tuple, Union, Callable, Any\n",
+        "import numpy as np\n",
+        "import pandas as pd\n",
+        "from tqdm.auto import tqdm\n",
+        "from IPython.display import display"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import rectools\n",
+        "from rectools import Columns\n",
+        "from rectools.dataset import Interactions, Dataset, DenseFeatures\n",
+        "from rectools.model_selection import Splitter, TimeRangeSplitter\n",
+        "from rectools.models.base import ModelBase\n",
+        "from rectools.models import RandomModel, PopularModel\n",
+        "from rectools.metrics.base import MetricAtK\n",
+        "from rectools.metrics import (\n",
+        "    Precision,\n",
+        "    Recall,\n",
+        "    MAP,\n",
+        "    NDCG,\n",
+        "    Serendipity,\n",
+        "    MeanInvUserFreq,\n",
+        "    IntraListDiversity,\n",
+        "    PairwiseHammingDistanceCalculator,\n",
+        "    calc_metrics,\n",
+        ")"
+      ],
+      "metadata": {
+        "id": "BaVJV2euWq83"
+      },
+      "execution_count": 9,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "url = 'https://github.com/irsafilo/KION_DATASET/raw/f69775be31fa5779907cf0a92ddedb70037fb5ae/data_original.zip'"
+      ],
+      "metadata": {
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+      "source": [
+        "req = requests.get(url, stream=True)\n",
+        "\n",
+        "with open('kion.zip', 'wb') as fd:\n",
+        "    total_size_in_bytes = int(req.headers.get('Content-Length', 0))\n",
+        "    progress_bar = tqdm(desc='kion dataset download', total=total_size_in_bytes, unit='iB', unit_scale=True)\n",
+        "    for chunk in req.iter_content(chunk_size=2 ** 20):\n",
+        "        progress_bar.update(len(chunk))\n",
+        "        fd.write(chunk)"
+      ],
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+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "kion dataset download:   0%|          | 0.00/78.8M [00:00<?, ?iB/s]"
+            ],
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+            }
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import zipfile as zf\n",
+        "\n",
+        "files = zf.ZipFile('kion.zip','r')\n",
+        "files.extractall()\n",
+        "files.close()"
+      ],
+      "metadata": {
+        "id": "Nq9mdRxe_9pz"
+      },
+      "execution_count": 7,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "interactions = pd.read_csv('data_original/interactions.csv', parse_dates=[\"last_watch_dt\"])\n",
+        "\n",
+        "interactions.rename(\n",
+        "    columns={\n",
+        "        'last_watch_dt': Columns.Datetime,\n",
+        "        'total_dur': Columns.Weight\n",
+        "    },\n",
+        "    inplace=True)"
+      ],
+      "metadata": {
+        "id": "P3SU1MPVAI9K"
+      },
+      "execution_count": 54,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "users = pd.read_csv('data_original/users.csv')\n",
+        "items = pd.read_csv('data_original/items.csv')"
+      ],
+      "metadata": {
+        "id": "rXESecmNWtuc"
+      },
+      "execution_count": 11,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "interactions.head(5)"
+      ],
+      "metadata": {
+        "colab": {
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+          "height": 206
+        },
+        "id": "IOL7jh8tAotv",
+        "outputId": "a97c36de-b359-407a-b021-c4624153ada0"
+      },
+      "execution_count": 14,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "   user_id  item_id   datetime  weight  watched_pct\n",
+              "0   176549     9506 2021-05-11    4250         72.0\n",
+              "1   699317     1659 2021-05-29    8317        100.0\n",
+              "2   656683     7107 2021-05-09      10          0.0\n",
+              "3   864613     7638 2021-07-05   14483        100.0\n",
+              "4   964868     9506 2021-04-30    6725        100.0"
+            ],
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+              "    .dataframe tbody tr th:only-of-type {\n",
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+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>user_id</th>\n",
+              "      <th>item_id</th>\n",
+              "      <th>datetime</th>\n",
+              "      <th>weight</th>\n",
+              "      <th>watched_pct</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>176549</td>\n",
+              "      <td>9506</td>\n",
+              "      <td>2021-05-11</td>\n",
+              "      <td>4250</td>\n",
+              "      <td>72.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>699317</td>\n",
+              "      <td>1659</td>\n",
+              "      <td>2021-05-29</td>\n",
+              "      <td>8317</td>\n",
+              "      <td>100.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>656683</td>\n",
+              "      <td>7107</td>\n",
+              "      <td>2021-05-09</td>\n",
+              "      <td>10</td>\n",
+              "      <td>0.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>864613</td>\n",
+              "      <td>7638</td>\n",
+              "      <td>2021-07-05</td>\n",
+              "      <td>14483</td>\n",
+              "      <td>100.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>964868</td>\n",
+              "      <td>9506</td>\n",
+              "      <td>2021-04-30</td>\n",
+              "      <td>6725</td>\n",
+              "      <td>100.0</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5bf97a8c-e672-4220-9cdf-7b455cba62b0')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
+              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-5bf97a8c-e672-4220-9cdf-7b455cba62b0 button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-5bf97a8c-e672-4220-9cdf-7b455cba62b0');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
+              "      }\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "\n",
+              "<div id=\"df-46c6dc32-a94f-4139-b004-739a41436b16\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-46c6dc32-a94f-4139-b004-739a41436b16')\"\n",
+              "            title=\"Suggest charts\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "  </button>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "      --bg-color: #E8F0FE;\n",
+              "      --fill-color: #1967D2;\n",
+              "      --hover-bg-color: #E2EBFA;\n",
+              "      --hover-fill-color: #174EA6;\n",
+              "      --disabled-fill-color: #AAA;\n",
+              "      --disabled-bg-color: #DDD;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "      --bg-color: #3B4455;\n",
+              "      --fill-color: #D2E3FC;\n",
+              "      --hover-bg-color: #434B5C;\n",
+              "      --hover-fill-color: #FFFFFF;\n",
+              "      --disabled-bg-color: #3B4455;\n",
+              "      --disabled-fill-color: #666;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: var(--bg-color);\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: var(--fill-color);\n",
+              "    height: 32px;\n",
+              "    padding: 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: var(--hover-bg-color);\n",
+              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: var(--button-hover-fill-color);\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart-complete:disabled,\n",
+              "  .colab-df-quickchart-complete:disabled:hover {\n",
+              "    background-color: var(--disabled-bg-color);\n",
+              "    fill: var(--disabled-fill-color);\n",
+              "    box-shadow: none;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-spinner {\n",
+              "    border: 2px solid var(--fill-color);\n",
+              "    border-color: transparent;\n",
+              "    border-bottom-color: var(--fill-color);\n",
+              "    animation:\n",
+              "      spin 1s steps(1) infinite;\n",
+              "  }\n",
+              "\n",
+              "  @keyframes spin {\n",
+              "    0% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "      border-left-color: var(--fill-color);\n",
+              "    }\n",
+              "    20% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    30% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    40% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    60% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    80% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "    90% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "  <script>\n",
+              "    async function quickchart(key) {\n",
+              "      const quickchartButtonEl =\n",
+              "        document.querySelector('#' + key + ' button');\n",
+              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
+              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
+              "      try {\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      } catch (error) {\n",
+              "        console.error('Error during call to suggestCharts:', error);\n",
+              "      }\n",
+              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
+              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
+              "    }\n",
+              "    (() => {\n",
+              "      let quickchartButtonEl =\n",
+              "        document.querySelector('#df-46c6dc32-a94f-4139-b004-739a41436b16 button');\n",
+              "      quickchartButtonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "    })();\n",
+              "  </script>\n",
+              "</div>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 14
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "users.head(5)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 206
+        },
+        "id": "mvOFvir3Assy",
+        "outputId": "1a187c3a-56bf-40f2-f7f3-6cb1151ed5f9"
+      },
+      "execution_count": 13,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "   user_id        age        income sex  kids_flg\n",
+              "0   973171  age_25_34  income_60_90   М         1\n",
+              "1   962099  age_18_24  income_20_40   М         0\n",
+              "2  1047345  age_45_54  income_40_60   Ж         0\n",
+              "3   721985  age_45_54  income_20_40   Ж         0\n",
+              "4   704055  age_35_44  income_60_90   Ж         0"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-f99015b6-9b2c-4cd3-8f5a-455603527310\" class=\"colab-df-container\">\n",
+              "    <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>user_id</th>\n",
+              "      <th>age</th>\n",
+              "      <th>income</th>\n",
+              "      <th>sex</th>\n",
+              "      <th>kids_flg</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>973171</td>\n",
+              "      <td>age_25_34</td>\n",
+              "      <td>income_60_90</td>\n",
+              "      <td>М</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>962099</td>\n",
+              "      <td>age_18_24</td>\n",
+              "      <td>income_20_40</td>\n",
+              "      <td>М</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>1047345</td>\n",
+              "      <td>age_45_54</td>\n",
+              "      <td>income_40_60</td>\n",
+              "      <td>Ж</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>721985</td>\n",
+              "      <td>age_45_54</td>\n",
+              "      <td>income_20_40</td>\n",
+              "      <td>Ж</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>704055</td>\n",
+              "      <td>age_35_44</td>\n",
+              "      <td>income_60_90</td>\n",
+              "      <td>Ж</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f99015b6-9b2c-4cd3-8f5a-455603527310')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
+              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-f99015b6-9b2c-4cd3-8f5a-455603527310 button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-f99015b6-9b2c-4cd3-8f5a-455603527310');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
+              "      }\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "\n",
+              "<div id=\"df-776de3fd-77db-4cb6-b517-77e72f464ae0\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-776de3fd-77db-4cb6-b517-77e72f464ae0')\"\n",
+              "            title=\"Suggest charts\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "  </button>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "      --bg-color: #E8F0FE;\n",
+              "      --fill-color: #1967D2;\n",
+              "      --hover-bg-color: #E2EBFA;\n",
+              "      --hover-fill-color: #174EA6;\n",
+              "      --disabled-fill-color: #AAA;\n",
+              "      --disabled-bg-color: #DDD;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "      --bg-color: #3B4455;\n",
+              "      --fill-color: #D2E3FC;\n",
+              "      --hover-bg-color: #434B5C;\n",
+              "      --hover-fill-color: #FFFFFF;\n",
+              "      --disabled-bg-color: #3B4455;\n",
+              "      --disabled-fill-color: #666;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: var(--bg-color);\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: var(--fill-color);\n",
+              "    height: 32px;\n",
+              "    padding: 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: var(--hover-bg-color);\n",
+              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: var(--button-hover-fill-color);\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart-complete:disabled,\n",
+              "  .colab-df-quickchart-complete:disabled:hover {\n",
+              "    background-color: var(--disabled-bg-color);\n",
+              "    fill: var(--disabled-fill-color);\n",
+              "    box-shadow: none;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-spinner {\n",
+              "    border: 2px solid var(--fill-color);\n",
+              "    border-color: transparent;\n",
+              "    border-bottom-color: var(--fill-color);\n",
+              "    animation:\n",
+              "      spin 1s steps(1) infinite;\n",
+              "  }\n",
+              "\n",
+              "  @keyframes spin {\n",
+              "    0% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "      border-left-color: var(--fill-color);\n",
+              "    }\n",
+              "    20% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    30% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    40% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    60% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    80% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "    90% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "  <script>\n",
+              "    async function quickchart(key) {\n",
+              "      const quickchartButtonEl =\n",
+              "        document.querySelector('#' + key + ' button');\n",
+              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
+              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
+              "      try {\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      } catch (error) {\n",
+              "        console.error('Error during call to suggestCharts:', error);\n",
+              "      }\n",
+              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
+              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
+              "    }\n",
+              "    (() => {\n",
+              "      let quickchartButtonEl =\n",
+              "        document.querySelector('#df-776de3fd-77db-4cb6-b517-77e72f464ae0 button');\n",
+              "      quickchartButtonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "    })();\n",
+              "  </script>\n",
+              "</div>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 13
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "items.head(5)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 608
+        },
+        "id": "bCnZZ6bKA0yz",
+        "outputId": "6211c1a5-c754-4fda-c7a5-04d5d00f3977"
+      },
+      "execution_count": 15,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "   item_id content_type                 title      title_orig  release_year  \\\n",
+              "0    10711         film        Поговори с ней  Hable con ella        2002.0   \n",
+              "1     2508         film           Голые перцы    Search Party        2014.0   \n",
+              "2    10716         film      Тактическая сила  Tactical Force        2011.0   \n",
+              "3     7868         film                45 лет        45 Years        2015.0   \n",
+              "4    16268         film  Все решает мгновение             NaN        1978.0   \n",
+              "\n",
+              "                                             genres       countries  for_kids  \\\n",
+              "0           драмы, зарубежные, детективы, мелодрамы         Испания       NaN   \n",
+              "1                  зарубежные, приключения, комедии             США       NaN   \n",
+              "2  криминал, зарубежные, триллеры, боевики, комедии          Канада       NaN   \n",
+              "3                      драмы, зарубежные, мелодрамы  Великобритания       NaN   \n",
+              "4                драмы, спорт, советские, мелодрамы            СССР       NaN   \n",
+              "\n",
+              "   age_rating   studios         directors  \\\n",
+              "0        16.0       NaN  Педро Альмодовар   \n",
+              "1        16.0       NaN    Скот Армстронг   \n",
+              "2        16.0       NaN  Адам П. Калтраро   \n",
+              "3        16.0       NaN         Эндрю Хэй   \n",
+              "4        12.0  Ленфильм  Виктор Садовский   \n",
+              "\n",
+              "                                              actors  \\\n",
+              "0  Адольфо Фернандес, Ана Фернандес, Дарио Гранди...   \n",
+              "1  Адам Палли, Брайан Хаски, Дж.Б. Смув, Джейсон ...   \n",
+              "2  Адриан Холмс, Даррен Шалави, Джерри Вассерман,...   \n",
+              "3  Александра Риддлстон-Барретт, Джеральдин Джейм...   \n",
+              "4  Александр Абдулов, Александр Демьяненко, Алекс...   \n",
+              "\n",
+              "                                         description  \\\n",
+              "0  Мелодрама легендарного Педро Альмодовара «Пого...   \n",
+              "1  Уморительная современная комедия на популярную...   \n",
+              "2  Профессиональный рестлер Стив Остин («Все или ...   \n",
+              "3  Шарлотта Рэмплинг, Том Кортни, Джеральдин Джей...   \n",
+              "4  Расчетливая чаровница из советского кинохита «...   \n",
+              "\n",
+              "                                            keywords  \n",
+              "0  Поговори, ней, 2002, Испания, друзья, любовь, ...  \n",
+              "1  Голые, перцы, 2014, США, друзья, свадьбы, прео...  \n",
+              "2  Тактическая, сила, 2011, Канада, бандиты, ганг...  \n",
+              "3  45, лет, 2015, Великобритания, брак, жизнь, лю...  \n",
+              "4  Все, решает, мгновение, 1978, СССР, сильные, ж...  "
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-28977b98-3d6d-402f-bf21-efcb1122d5b1\" class=\"colab-df-container\">\n",
+              "    <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>item_id</th>\n",
+              "      <th>content_type</th>\n",
+              "      <th>title</th>\n",
+              "      <th>title_orig</th>\n",
+              "      <th>release_year</th>\n",
+              "      <th>genres</th>\n",
+              "      <th>countries</th>\n",
+              "      <th>for_kids</th>\n",
+              "      <th>age_rating</th>\n",
+              "      <th>studios</th>\n",
+              "      <th>directors</th>\n",
+              "      <th>actors</th>\n",
+              "      <th>description</th>\n",
+              "      <th>keywords</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>10711</td>\n",
+              "      <td>film</td>\n",
+              "      <td>Поговори с ней</td>\n",
+              "      <td>Hable con ella</td>\n",
+              "      <td>2002.0</td>\n",
+              "      <td>драмы, зарубежные, детективы, мелодрамы</td>\n",
+              "      <td>Испания</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>16.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Педро Альмодовар</td>\n",
+              "      <td>Адольфо Фернандес, Ана Фернандес, Дарио Гранди...</td>\n",
+              "      <td>Мелодрама легендарного Педро Альмодовара «Пого...</td>\n",
+              "      <td>Поговори, ней, 2002, Испания, друзья, любовь, ...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>2508</td>\n",
+              "      <td>film</td>\n",
+              "      <td>Голые перцы</td>\n",
+              "      <td>Search Party</td>\n",
+              "      <td>2014.0</td>\n",
+              "      <td>зарубежные, приключения, комедии</td>\n",
+              "      <td>США</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>16.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Скот Армстронг</td>\n",
+              "      <td>Адам Палли, Брайан Хаски, Дж.Б. Смув, Джейсон ...</td>\n",
+              "      <td>Уморительная современная комедия на популярную...</td>\n",
+              "      <td>Голые, перцы, 2014, США, друзья, свадьбы, прео...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>10716</td>\n",
+              "      <td>film</td>\n",
+              "      <td>Тактическая сила</td>\n",
+              "      <td>Tactical Force</td>\n",
+              "      <td>2011.0</td>\n",
+              "      <td>криминал, зарубежные, триллеры, боевики, комедии</td>\n",
+              "      <td>Канада</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>16.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Адам П. Калтраро</td>\n",
+              "      <td>Адриан Холмс, Даррен Шалави, Джерри Вассерман,...</td>\n",
+              "      <td>Профессиональный рестлер Стив Остин («Все или ...</td>\n",
+              "      <td>Тактическая, сила, 2011, Канада, бандиты, ганг...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>7868</td>\n",
+              "      <td>film</td>\n",
+              "      <td>45 лет</td>\n",
+              "      <td>45 Years</td>\n",
+              "      <td>2015.0</td>\n",
+              "      <td>драмы, зарубежные, мелодрамы</td>\n",
+              "      <td>Великобритания</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>16.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Эндрю Хэй</td>\n",
+              "      <td>Александра Риддлстон-Барретт, Джеральдин Джейм...</td>\n",
+              "      <td>Шарлотта Рэмплинг, Том Кортни, Джеральдин Джей...</td>\n",
+              "      <td>45, лет, 2015, Великобритания, брак, жизнь, лю...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>16268</td>\n",
+              "      <td>film</td>\n",
+              "      <td>Все решает мгновение</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>1978.0</td>\n",
+              "      <td>драмы, спорт, советские, мелодрамы</td>\n",
+              "      <td>СССР</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>12.0</td>\n",
+              "      <td>Ленфильм</td>\n",
+              "      <td>Виктор Садовский</td>\n",
+              "      <td>Александр Абдулов, Александр Демьяненко, Алекс...</td>\n",
+              "      <td>Расчетливая чаровница из советского кинохита «...</td>\n",
+              "      <td>Все, решает, мгновение, 1978, СССР, сильные, ж...</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-28977b98-3d6d-402f-bf21-efcb1122d5b1')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
+              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-28977b98-3d6d-402f-bf21-efcb1122d5b1 button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-28977b98-3d6d-402f-bf21-efcb1122d5b1');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
+              "      }\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "\n",
+              "<div id=\"df-06d8e43a-7d41-4e5a-9c21-d4491207a103\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-06d8e43a-7d41-4e5a-9c21-d4491207a103')\"\n",
+              "            title=\"Suggest charts\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "  </button>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "      --bg-color: #E8F0FE;\n",
+              "      --fill-color: #1967D2;\n",
+              "      --hover-bg-color: #E2EBFA;\n",
+              "      --hover-fill-color: #174EA6;\n",
+              "      --disabled-fill-color: #AAA;\n",
+              "      --disabled-bg-color: #DDD;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "      --bg-color: #3B4455;\n",
+              "      --fill-color: #D2E3FC;\n",
+              "      --hover-bg-color: #434B5C;\n",
+              "      --hover-fill-color: #FFFFFF;\n",
+              "      --disabled-bg-color: #3B4455;\n",
+              "      --disabled-fill-color: #666;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: var(--bg-color);\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: var(--fill-color);\n",
+              "    height: 32px;\n",
+              "    padding: 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: var(--hover-bg-color);\n",
+              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: var(--button-hover-fill-color);\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart-complete:disabled,\n",
+              "  .colab-df-quickchart-complete:disabled:hover {\n",
+              "    background-color: var(--disabled-bg-color);\n",
+              "    fill: var(--disabled-fill-color);\n",
+              "    box-shadow: none;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-spinner {\n",
+              "    border: 2px solid var(--fill-color);\n",
+              "    border-color: transparent;\n",
+              "    border-bottom-color: var(--fill-color);\n",
+              "    animation:\n",
+              "      spin 1s steps(1) infinite;\n",
+              "  }\n",
+              "\n",
+              "  @keyframes spin {\n",
+              "    0% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "      border-left-color: var(--fill-color);\n",
+              "    }\n",
+              "    20% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    30% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    40% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    60% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    80% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "    90% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "  <script>\n",
+              "    async function quickchart(key) {\n",
+              "      const quickchartButtonEl =\n",
+              "        document.querySelector('#' + key + ' button');\n",
+              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
+              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
+              "      try {\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      } catch (error) {\n",
+              "        console.error('Error during call to suggestCharts:', error);\n",
+              "      }\n",
+              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
+              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
+              "    }\n",
+              "    (() => {\n",
+              "      let quickchartButtonEl =\n",
+              "        document.querySelector('#df-06d8e43a-7d41-4e5a-9c21-d4491207a103 button');\n",
+              "      quickchartButtonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "    })();\n",
+              "  </script>\n",
+              "</div>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 15
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Возьмем метрики: классификационные (Precision, Recall), метрики ранжирования (MAP, NDCG), специальные (Serendipity, Novelty)"
+      ],
+      "metadata": {
+        "id": "eUUF2kRlDL1k"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "metrics = {\n",
+        "          \"precision\": Precision,\n",
+        "          \"recall\": Recall,\n",
+        "          \"MAP\": MAP,\n",
+        "          \"NDCG\": NDCG,\n",
+        "          \"serendipity\": Serendipity,\n",
+        "          \"novelty\": MeanInvUserFreq\n",
+        "    }\n",
+        "\n",
+        "k = [1, 5, 10]"
+      ],
+      "metadata": {
+        "id": "s028iLIjA4BL"
+      },
+      "execution_count": 68,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "def compute_metrics(metrics, K):\n",
+        "    metrics_at_k = {}\n",
+        "\n",
+        "    for key, value in metrics.items():\n",
+        "        kwargs = {}\n",
+        "        if isinstance(value, tuple):\n",
+        "            kwargs.update(**value[1])\n",
+        "            value = value[0]\n",
+        "\n",
+        "        metrics_at_k.update({f\"{key}@{k}\": value(k=k, **kwargs) for k in K})\n",
+        "\n",
+        "    return metrics_at_k"
+      ],
+      "metadata": {
+        "id": "-X8nK9YuGeAy"
+      },
+      "execution_count": 69,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "metrics_at_k = compute_metrics(metrics, k)"
+      ],
+      "metadata": {
+        "id": "hnHzx2RDGgil"
+      },
+      "execution_count": 70,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "metrics_at_k"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "BCNAO707P_3J",
+        "outputId": "f092c764-b467-408b-b997-75687a80344c"
+      },
+      "execution_count": 71,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "{'precision@1': Precision(k=1),\n",
+              " 'precision@5': Precision(k=5),\n",
+              " 'precision@10': Precision(k=10),\n",
+              " 'recall@1': Recall(k=1),\n",
+              " 'recall@5': Recall(k=5),\n",
+              " 'recall@10': Recall(k=10),\n",
+              " 'MAP@1': MAP(k=1, divide_by_k=False),\n",
+              " 'MAP@5': MAP(k=5, divide_by_k=False),\n",
+              " 'MAP@10': MAP(k=10, divide_by_k=False),\n",
+              " 'NDCG@1': NDCG(k=1, log_base=2),\n",
+              " 'NDCG@5': NDCG(k=5, log_base=2),\n",
+              " 'NDCG@10': NDCG(k=10, log_base=2),\n",
+              " 'serendipity@1': Serendipity(k=1),\n",
+              " 'serendipity@5': Serendipity(k=5),\n",
+              " 'serendipity@10': Serendipity(k=10),\n",
+              " 'novelty@1': MeanInvUserFreq(k=1),\n",
+              " 'novelty@5': MeanInvUserFreq(k=5),\n",
+              " 'novelty@10': MeanInvUserFreq(k=10)}"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 71
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "def computation_metrics(models, metrics, splitter, interactions, k):\n",
+        "\n",
+        "    results = []\n",
+        "    interactions_data = Interactions(interactions)\n",
+        "    fold_iterator = splitter.split(interactions_data, collect_fold_stats=True)\n",
+        "\n",
+        "    for train_ids, test_ids, fold_info in fold_iterator:\n",
+        "\n",
+        "        df_train = interactions_data.df.iloc[train_ids]\n",
+        "        df_test = interactions_data.df.iloc[test_ids][Columns.UserItem]\n",
+        "\n",
+        "        dataset = Dataset.construct(df_train)\n",
+        "        test_users = np.unique(df_test[Columns.User])\n",
+        "\n",
+        "        catalog = df_train[Columns.Item].unique()\n",
+        "\n",
+        "        for key, value in models.items():\n",
+        "\n",
+        "            model = deepcopy(value)\n",
+        "\n",
+        "            start = time.time()\n",
+        "            model.fit(dataset)\n",
+        "            stop = time.time()\n",
+        "\n",
+        "            reco = model.recommend(users=test_users, dataset=dataset, k=k, filter_viewed=True)\n",
+        "\n",
+        "            metric_values = calc_metrics(\n",
+        "                metrics,\n",
+        "                reco=reco,\n",
+        "                interactions=df_test,\n",
+        "                prev_interactions=df_train,\n",
+        "                catalog=catalog,\n",
+        "            )\n",
+        "\n",
+        "            times = {\"model\": key, \"time\": stop - start}\n",
+        "            times.update(metric_values)\n",
+        "            results.append(times)\n",
+        "\n",
+        "    results_df = pd.DataFrame(results)\n",
+        "\n",
+        "    return results_df"
+      ],
+      "metadata": {
+        "id": "ykxIWnNcJcQ-"
+      },
+      "execution_count": 72,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Сплиттер: 3 фолда для кросс-валидации по неделе, исключение холодных юзеров и айтемов и просмотренных айтемов"
+      ],
+      "metadata": {
+        "id": "zx8USwNZU85w"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "splitter = TimeRangeSplitter(test_size=\"7D\", n_splits=3, filter_cold_users=True, filter_cold_items=True, filter_already_seen=True)"
+      ],
+      "metadata": {
+        "id": "VQDSnhLfIv8-"
+      },
+      "execution_count": 73,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "models = {\"RandomModel\": RandomModel(), \"PopularModel\": PopularModel()}\n",
+        "\n",
+        "results = computation_metrics(models, metrics_at_k, splitter, interactions, 10)"
+      ],
+      "metadata": {
+        "id": "ev1D_mS8HjdI"
+      },
+      "execution_count": 74,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "pd.DataFrame(results).groupby(\"model\").mean()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 164
+        },
+        "id": "vCJr-rNPHxtj",
+        "outputId": "e65feb8b-f340-474a-9157-f00fa2baf35f"
+      },
+      "execution_count": 75,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "                  time  precision@1  recall@1  precision@5  recall@5  \\\n",
+              "model                                                                  \n",
+              "PopularModel  1.865071     0.076432  0.042720     0.052402  0.137413   \n",
+              "RandomModel   0.000046     0.000180  0.000066     0.000170  0.000318   \n",
+              "\n",
+              "              precision@10  recall@10    NDCG@1    NDCG@5   NDCG@10     MAP@1  \\\n",
+              "model                                                                           \n",
+              "PopularModel      0.033903   0.173492  0.076432  0.057932  0.043084  0.042720   \n",
+              "RandomModel       0.000166   0.000601  0.000180  0.000170  0.000167  0.000066   \n",
+              "\n",
+              "                 MAP@5    MAP@10  novelty@1  novelty@5  novelty@10  \\\n",
+              "model                                                                \n",
+              "PopularModel  0.078295  0.084109   2.377055   3.066979    3.713390   \n",
+              "RandomModel   0.000148  0.000185  15.613740  15.614079   15.613485   \n",
+              "\n",
+              "              serendipity@1  serendipity@5  serendipity@10  \n",
+              "model                                                       \n",
+              "PopularModel       0.000002       0.000003        0.000002  \n",
+              "RandomModel        0.000006       0.000006        0.000006  "
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-6b996630-a579-4268-bbed-49948dcafc7d\" class=\"colab-df-container\">\n",
+              "    <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>time</th>\n",
+              "      <th>precision@1</th>\n",
+              "      <th>recall@1</th>\n",
+              "      <th>precision@5</th>\n",
+              "      <th>recall@5</th>\n",
+              "      <th>precision@10</th>\n",
+              "      <th>recall@10</th>\n",
+              "      <th>NDCG@1</th>\n",
+              "      <th>NDCG@5</th>\n",
+              "      <th>NDCG@10</th>\n",
+              "      <th>MAP@1</th>\n",
+              "      <th>MAP@5</th>\n",
+              "      <th>MAP@10</th>\n",
+              "      <th>novelty@1</th>\n",
+              "      <th>novelty@5</th>\n",
+              "      <th>novelty@10</th>\n",
+              "      <th>serendipity@1</th>\n",
+              "      <th>serendipity@5</th>\n",
+              "      <th>serendipity@10</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>model</th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>PopularModel</th>\n",
+              "      <td>1.865071</td>\n",
+              "      <td>0.076432</td>\n",
+              "      <td>0.042720</td>\n",
+              "      <td>0.052402</td>\n",
+              "      <td>0.137413</td>\n",
+              "      <td>0.033903</td>\n",
+              "      <td>0.173492</td>\n",
+              "      <td>0.076432</td>\n",
+              "      <td>0.057932</td>\n",
+              "      <td>0.043084</td>\n",
+              "      <td>0.042720</td>\n",
+              "      <td>0.078295</td>\n",
+              "      <td>0.084109</td>\n",
+              "      <td>2.377055</td>\n",
+              "      <td>3.066979</td>\n",
+              "      <td>3.713390</td>\n",
+              "      <td>0.000002</td>\n",
+              "      <td>0.000003</td>\n",
+              "      <td>0.000002</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>RandomModel</th>\n",
+              "      <td>0.000046</td>\n",
+              "      <td>0.000180</td>\n",
+              "      <td>0.000066</td>\n",
+              "      <td>0.000170</td>\n",
+              "      <td>0.000318</td>\n",
+              "      <td>0.000166</td>\n",
+              "      <td>0.000601</td>\n",
+              "      <td>0.000180</td>\n",
+              "      <td>0.000170</td>\n",
+              "      <td>0.000167</td>\n",
+              "      <td>0.000066</td>\n",
+              "      <td>0.000148</td>\n",
+              "      <td>0.000185</td>\n",
+              "      <td>15.613740</td>\n",
+              "      <td>15.614079</td>\n",
+              "      <td>15.613485</td>\n",
+              "      <td>0.000006</td>\n",
+              "      <td>0.000006</td>\n",
+              "      <td>0.000006</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6b996630-a579-4268-bbed-49948dcafc7d')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
+              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-6b996630-a579-4268-bbed-49948dcafc7d button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-6b996630-a579-4268-bbed-49948dcafc7d');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
+              "      }\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "\n",
+              "<div id=\"df-ac358726-70f5-4737-9cf7-298b122f974d\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-ac358726-70f5-4737-9cf7-298b122f974d')\"\n",
+              "            title=\"Suggest charts\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "  </button>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "      --bg-color: #E8F0FE;\n",
+              "      --fill-color: #1967D2;\n",
+              "      --hover-bg-color: #E2EBFA;\n",
+              "      --hover-fill-color: #174EA6;\n",
+              "      --disabled-fill-color: #AAA;\n",
+              "      --disabled-bg-color: #DDD;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "      --bg-color: #3B4455;\n",
+              "      --fill-color: #D2E3FC;\n",
+              "      --hover-bg-color: #434B5C;\n",
+              "      --hover-fill-color: #FFFFFF;\n",
+              "      --disabled-bg-color: #3B4455;\n",
+              "      --disabled-fill-color: #666;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: var(--bg-color);\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: var(--fill-color);\n",
+              "    height: 32px;\n",
+              "    padding: 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: var(--hover-bg-color);\n",
+              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: var(--button-hover-fill-color);\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart-complete:disabled,\n",
+              "  .colab-df-quickchart-complete:disabled:hover {\n",
+              "    background-color: var(--disabled-bg-color);\n",
+              "    fill: var(--disabled-fill-color);\n",
+              "    box-shadow: none;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-spinner {\n",
+              "    border: 2px solid var(--fill-color);\n",
+              "    border-color: transparent;\n",
+              "    border-bottom-color: var(--fill-color);\n",
+              "    animation:\n",
+              "      spin 1s steps(1) infinite;\n",
+              "  }\n",
+              "\n",
+              "  @keyframes spin {\n",
+              "    0% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "      border-left-color: var(--fill-color);\n",
+              "    }\n",
+              "    20% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    30% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    40% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    60% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    80% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "    90% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "  <script>\n",
+              "    async function quickchart(key) {\n",
+              "      const quickchartButtonEl =\n",
+              "        document.querySelector('#' + key + ' button');\n",
+              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
+              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
+              "      try {\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      } catch (error) {\n",
+              "        console.error('Error during call to suggestCharts:', error);\n",
+              "      }\n",
+              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
+              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
+              "    }\n",
+              "    (() => {\n",
+              "      let quickchartButtonEl =\n",
+              "        document.querySelector('#df-ac358726-70f5-4737-9cf7-298b122f974d button');\n",
+              "      quickchartButtonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "    })();\n",
+              "  </script>\n",
+              "</div>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 75
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "def visualized(model, dataset, users, features, items):\n",
+        "\n",
+        "  if model.is_fitted == False:\n",
+        "        raise Exception('model is not fitted')\n",
+        "\n",
+        "  recommendations = model.recommend(users, dataset, 3, True)\n",
+        "  interactions_data = dataset.interactions.df\n",
+        "  history = interactions_data[interactions_data.user_id.isin(users)]\n",
+        "\n",
+        "  for user in users:\n",
+        "\n",
+        "    history_for_user = history[history.user_id.isin([user])]\n",
+        "    hist = items.join(history_for_user.set_index('item_id'), on='item_id')[[\"user_id\"] + features]\n",
+        "    hist_for_id = hist.loc[hist['user_id'].isin([user])]\n",
+        "    print(f\"Пользователь с id {user} уже посмотрел:\")\n",
+        "    print(hist_for_id)\n",
+        "    print('')\n",
+        "\n",
+        "    recommendations_for_id = model.recommend(users, dataset, 3, True)\n",
+        "    rec = pd.merge(recommendations_for_id, items)[[\"user_id\"] + features]\n",
+        "    rec_for_id = rec.loc[rec['user_id'].isin([user])]\n",
+        "\n",
+        "    print(f\"Пользователю с id {user} можно порекомендовать:\")\n",
+        "    print(rec_for_id)\n",
+        "    print('')\n",
+        "    print('')"
+      ],
+      "metadata": {
+        "id": "GccJWs1aQUmN"
+      },
+      "execution_count": 92,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "model = RandomModel(random_state=32)\n",
+        "dataset = Dataset.construct(interactions)\n",
+        "model.fit(dataset)\n",
+        "users = np.array([666262, 672861, 955527])"
+      ],
+      "metadata": {
+        "id": "v0F4yRc_SB53"
+      },
+      "execution_count": 93,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "visualized(model, dataset, users, [\"title\"], items)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "HxekR0z_SFEZ",
+        "outputId": "10680310-1264-4874-faed-24f33258f54c"
+      },
+      "execution_count": 94,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Пользователь с id 666262 уже посмотрел:\n",
+            "        user_id                 title\n",
+            "11230  666262.0  Дом ночных призраков\n",
+            "\n",
+            "Пользователю с id 666262 можно порекомендовать:\n",
+            "   user_id                                         title\n",
+            "0   666262                           Возвращение Будулая\n",
+            "1   666262  Новые приключения Аладдина (жестовым языком)\n",
+            "2   666262                             Пропавшая грамота\n",
+            "\n",
+            "\n",
+            "Пользователь с id 672861 уже посмотрел:\n",
+            "        user_id                          title\n",
+            "11182  672861.0                 В ритме сердца\n",
+            "13578  672861.0  Медвежонок Винни и его друзья\n",
+            "\n",
+            "Пользователю с id 672861 можно порекомендовать:\n",
+            "   user_id                     title\n",
+            "3   672861          Женщина в беде 3\n",
+            "4   672861  Гордость и предубеждение\n",
+            "5   672861                Болванчики\n",
+            "\n",
+            "\n",
+            "Пользователь с id 955527 уже посмотрел:\n",
+            "       user_id        title\n",
+            "8909  955527.0  Признание 5\n",
+            "\n",
+            "Пользователю с id 955527 можно порекомендовать:\n",
+            "   user_id                      title\n",
+            "6   955527               Солдат Джейн\n",
+            "7   955527               Спеши любить\n",
+            "8   955527  Комната (жестовым языком)\n",
+            "\n",
+            "\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [],
+      "metadata": {
+        "id": "39Ce1wmoTNpZ"
+      },
+      "execution_count": null,
+      "outputs": []
+    }
+  ]
+}
\ No newline at end of file

From 693a41d4165d0dcab5bdb36fb2b34a6f33e7e42d Mon Sep 17 00:00:00 2001
From: Yulia <etwaswie@gmail.com>
Date: Wed, 22 Nov 2023 17:03:19 +0300
Subject: [PATCH 2/2] Sorry for this pr

---
 Recsys_02.ipynb | 2244 -----------------------------------------------
 1 file changed, 2244 deletions(-)
 delete mode 100644 Recsys_02.ipynb

diff --git a/Recsys_02.ipynb b/Recsys_02.ipynb
deleted file mode 100644
index 42017d50..00000000
--- a/Recsys_02.ipynb
+++ /dev/null
@@ -1,2244 +0,0 @@
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-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m99.0/99.0 kB\u001b[0m \u001b[31m2.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m8.9/8.9 MB\u001b[0m \u001b[31m77.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[?25h"
-          ]
-        }
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 3,
-      "metadata": {
-        "id": "p7NMna_cVQxG"
-      },
-      "outputs": [],
-      "source": [
-        "import time\n",
-        "import logging\n",
-        "import requests\n",
-        "import pprint\n",
-        "from copy import deepcopy, copy\n",
-        "from typing import Dict, List, Tuple, Union, Callable, Any\n",
-        "import numpy as np\n",
-        "import pandas as pd\n",
-        "from tqdm.auto import tqdm\n",
-        "from IPython.display import display"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "import rectools\n",
-        "from rectools import Columns\n",
-        "from rectools.dataset import Interactions, Dataset, DenseFeatures\n",
-        "from rectools.model_selection import Splitter, TimeRangeSplitter\n",
-        "from rectools.models.base import ModelBase\n",
-        "from rectools.models import RandomModel, PopularModel\n",
-        "from rectools.metrics.base import MetricAtK\n",
-        "from rectools.metrics import (\n",
-        "    Precision,\n",
-        "    Recall,\n",
-        "    MAP,\n",
-        "    NDCG,\n",
-        "    Serendipity,\n",
-        "    MeanInvUserFreq,\n",
-        "    IntraListDiversity,\n",
-        "    PairwiseHammingDistanceCalculator,\n",
-        "    calc_metrics,\n",
-        ")"
-      ],
-      "metadata": {
-        "id": "BaVJV2euWq83"
-      },
-      "execution_count": 9,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "url = 'https://github.com/irsafilo/KION_DATASET/raw/f69775be31fa5779907cf0a92ddedb70037fb5ae/data_original.zip'"
-      ],
-      "metadata": {
-        "id": "2GDmmYBB_5Az"
-      },
-      "execution_count": 5,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "req = requests.get(url, stream=True)\n",
-        "\n",
-        "with open('kion.zip', 'wb') as fd:\n",
-        "    total_size_in_bytes = int(req.headers.get('Content-Length', 0))\n",
-        "    progress_bar = tqdm(desc='kion dataset download', total=total_size_in_bytes, unit='iB', unit_scale=True)\n",
-        "    for chunk in req.iter_content(chunk_size=2 ** 20):\n",
-        "        progress_bar.update(len(chunk))\n",
-        "        fd.write(chunk)"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 49,
-          "referenced_widgets": [
-            "1154553e8da249f7ac4bc6c56708fedd",
-            "835e20f177ec4ffaa7e646c01524b50c",
-            "0b17791df6ac4e2db361ccbbc094f192",
-            "2cb58f1d01ce49d9af409da139c95797",
-            "8790ad7e4d5b4a9e9bd5c8db96cfa82c",
-            "b4fa8c0b246a41f1a10ce80e2c75a365",
-            "614c47cccc1b47c4b9a37f2b5bad9a70",
-            "ce5223c6eb1e46c08b8d8416d8e8cc2a",
-            "210f85b0cdc94aa1a582928a50cab553",
-            "d7f119e0465c413ca0711dca01ec3bb2",
-            "0f2fdbe723d24691addc6ece6f02f2d0"
-          ]
-        },
-        "id": "okHHWMWG_7-J",
-        "outputId": "f783fffc-56f5-4041-aa92-822a984f50ac"
-      },
-      "execution_count": 6,
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "kion dataset download:   0%|          | 0.00/78.8M [00:00<?, ?iB/s]"
-            ],
-            "application/vnd.jupyter.widget-view+json": {
-              "version_major": 2,
-              "version_minor": 0,
-              "model_id": "1154553e8da249f7ac4bc6c56708fedd"
-            }
-          },
-          "metadata": {}
-        }
-      ]
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "import zipfile as zf\n",
-        "\n",
-        "files = zf.ZipFile('kion.zip','r')\n",
-        "files.extractall()\n",
-        "files.close()"
-      ],
-      "metadata": {
-        "id": "Nq9mdRxe_9pz"
-      },
-      "execution_count": 7,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "interactions = pd.read_csv('data_original/interactions.csv', parse_dates=[\"last_watch_dt\"])\n",
-        "\n",
-        "interactions.rename(\n",
-        "    columns={\n",
-        "        'last_watch_dt': Columns.Datetime,\n",
-        "        'total_dur': Columns.Weight\n",
-        "    },\n",
-        "    inplace=True)"
-      ],
-      "metadata": {
-        "id": "P3SU1MPVAI9K"
-      },
-      "execution_count": 54,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "users = pd.read_csv('data_original/users.csv')\n",
-        "items = pd.read_csv('data_original/items.csv')"
-      ],
-      "metadata": {
-        "id": "rXESecmNWtuc"
-      },
-      "execution_count": 11,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "interactions.head(5)"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 206
-        },
-        "id": "IOL7jh8tAotv",
-        "outputId": "a97c36de-b359-407a-b021-c4624153ada0"
-      },
-      "execution_count": 14,
-      "outputs": [
-        {
-          "output_type": "execute_result",
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-              "   user_id  item_id   datetime  weight  watched_pct\n",
-              "0   176549     9506 2021-05-11    4250         72.0\n",
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-              "2   656683     7107 2021-05-09      10          0.0\n",
-              "3   864613     7638 2021-07-05   14483        100.0\n",
-              "4   964868     9506 2021-04-30    6725        100.0"
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-        "users.head(5)"
-      ],
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-          "height": 206
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-        "id": "mvOFvir3Assy",
-        "outputId": "1a187c3a-56bf-40f2-f7f3-6cb1151ed5f9"
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-      "execution_count": 13,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "   user_id        age        income sex  kids_flg\n",
-              "0   973171  age_25_34  income_60_90   М         1\n",
-              "1   962099  age_18_24  income_20_40   М         0\n",
-              "2  1047345  age_45_54  income_40_60   Ж         0\n",
-              "3   721985  age_45_54  income_20_40   Ж         0\n",
-              "4   704055  age_35_44  income_60_90   Ж         0"
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-              "      <th>age</th>\n",
-              "      <th>income</th>\n",
-              "      <th>sex</th>\n",
-              "      <th>kids_flg</th>\n",
-              "    </tr>\n",
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-              "      <td>973171</td>\n",
-              "      <td>age_25_34</td>\n",
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-              "      <td>М</td>\n",
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-              "      <th>2</th>\n",
-              "      <td>1047345</td>\n",
-              "      <td>age_45_54</td>\n",
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-              "      <td>Ж</td>\n",
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-              "      <td>721985</td>\n",
-              "      <td>age_45_54</td>\n",
-              "      <td>income_20_40</td>\n",
-              "      <td>Ж</td>\n",
-              "      <td>0</td>\n",
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-              "      <th>4</th>\n",
-              "      <td>704055</td>\n",
-              "      <td>age_35_44</td>\n",
-              "      <td>income_60_90</td>\n",
-              "      <td>Ж</td>\n",
-              "      <td>0</td>\n",
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-              "</div>\n",
-              "    <div class=\"colab-df-buttons\">\n",
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-              "\n",
-              "  <style>\n",
-              "    .colab-df-container {\n",
-              "      display:flex;\n",
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-              "\n",
-              "    .colab-df-convert {\n",
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-              "      border: none;\n",
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-              "      height: 32px;\n",
-              "      padding: 0 0 0 0;\n",
-              "      width: 32px;\n",
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-              "\n",
-              "    .colab-df-convert:hover {\n",
-              "      background-color: #E2EBFA;\n",
-              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
-              "      fill: #174EA6;\n",
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-              "\n",
-              "    .colab-df-buttons div {\n",
-              "      margin-bottom: 4px;\n",
-              "    }\n",
-              "\n",
-              "    [theme=dark] .colab-df-convert {\n",
-              "      background-color: #3B4455;\n",
-              "      fill: #D2E3FC;\n",
-              "    }\n",
-              "\n",
-              "    [theme=dark] .colab-df-convert:hover {\n",
-              "      background-color: #434B5C;\n",
-              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
-              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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-              "  </style>\n",
-              "\n",
-              "    <script>\n",
-              "      const buttonEl =\n",
-              "        document.querySelector('#df-f99015b6-9b2c-4cd3-8f5a-455603527310 button.colab-df-convert');\n",
-              "      buttonEl.style.display =\n",
-              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
-              "\n",
-              "      async function convertToInteractive(key) {\n",
-              "        const element = document.querySelector('#df-f99015b6-9b2c-4cd3-8f5a-455603527310');\n",
-              "        const dataTable =\n",
-              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
-              "                                                    [key], {});\n",
-              "        if (!dataTable) return;\n",
-              "\n",
-              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
-              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
-              "          + ' to learn more about interactive tables.';\n",
-              "        element.innerHTML = '';\n",
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-              "        await google.colab.output.renderOutput(dataTable, element);\n",
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-              "        element.appendChild(docLink);\n",
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-              "\n",
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-              "            title=\"Suggest charts\"\n",
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-              "    </g>\n",
-              "</svg>\n",
-              "  </button>\n",
-              "\n",
-              "<style>\n",
-              "  .colab-df-quickchart {\n",
-              "      --bg-color: #E8F0FE;\n",
-              "      --fill-color: #1967D2;\n",
-              "      --hover-bg-color: #E2EBFA;\n",
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-              "      --disabled-bg-color: #DDD;\n",
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-              "\n",
-              "  [theme=dark] .colab-df-quickchart {\n",
-              "      --bg-color: #3B4455;\n",
-              "      --fill-color: #D2E3FC;\n",
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-              "      --disabled-bg-color: #3B4455;\n",
-              "      --disabled-fill-color: #666;\n",
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-              "\n",
-              "  .colab-df-quickchart {\n",
-              "    background-color: var(--bg-color);\n",
-              "    border: none;\n",
-              "    border-radius: 50%;\n",
-              "    cursor: pointer;\n",
-              "    display: none;\n",
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-              "    height: 32px;\n",
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-              "    fill: var(--button-hover-fill-color);\n",
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-              "\n",
-              "  .colab-df-quickchart-complete:disabled,\n",
-              "  .colab-df-quickchart-complete:disabled:hover {\n",
-              "    background-color: var(--disabled-bg-color);\n",
-              "    fill: var(--disabled-fill-color);\n",
-              "    box-shadow: none;\n",
-              "  }\n",
-              "\n",
-              "  .colab-df-spinner {\n",
-              "    border: 2px solid var(--fill-color);\n",
-              "    border-color: transparent;\n",
-              "    border-bottom-color: var(--fill-color);\n",
-              "    animation:\n",
-              "      spin 1s steps(1) infinite;\n",
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-              "\n",
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-              "      border-color: transparent;\n",
-              "      border-bottom-color: var(--fill-color);\n",
-              "      border-left-color: var(--fill-color);\n",
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-              "      border-right-color: var(--fill-color);\n",
-              "      border-top-color: var(--fill-color);\n",
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-              "    60% {\n",
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-              "      border-right-color: var(--fill-color);\n",
-              "    }\n",
-              "    80% {\n",
-              "      border-color: transparent;\n",
-              "      border-right-color: var(--fill-color);\n",
-              "      border-bottom-color: var(--fill-color);\n",
-              "    }\n",
-              "    90% {\n",
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-              "      border-bottom-color: var(--fill-color);\n",
-              "    }\n",
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-              "\n",
-              "  <script>\n",
-              "    async function quickchart(key) {\n",
-              "      const quickchartButtonEl =\n",
-              "        document.querySelector('#' + key + ' button');\n",
-              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
-              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
-              "      try {\n",
-              "        const charts = await google.colab.kernel.invokeFunction(\n",
-              "            'suggestCharts', [key], {});\n",
-              "      } catch (error) {\n",
-              "        console.error('Error during call to suggestCharts:', error);\n",
-              "      }\n",
-              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
-              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
-              "    }\n",
-              "    (() => {\n",
-              "      let quickchartButtonEl =\n",
-              "        document.querySelector('#df-776de3fd-77db-4cb6-b517-77e72f464ae0 button');\n",
-              "      quickchartButtonEl.style.display =\n",
-              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
-              "    })();\n",
-              "  </script>\n",
-              "</div>\n",
-              "    </div>\n",
-              "  </div>\n"
-            ]
-          },
-          "metadata": {},
-          "execution_count": 13
-        }
-      ]
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "items.head(5)"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 608
-        },
-        "id": "bCnZZ6bKA0yz",
-        "outputId": "6211c1a5-c754-4fda-c7a5-04d5d00f3977"
-      },
-      "execution_count": 15,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "   item_id content_type                 title      title_orig  release_year  \\\n",
-              "0    10711         film        Поговори с ней  Hable con ella        2002.0   \n",
-              "1     2508         film           Голые перцы    Search Party        2014.0   \n",
-              "2    10716         film      Тактическая сила  Tactical Force        2011.0   \n",
-              "3     7868         film                45 лет        45 Years        2015.0   \n",
-              "4    16268         film  Все решает мгновение             NaN        1978.0   \n",
-              "\n",
-              "                                             genres       countries  for_kids  \\\n",
-              "0           драмы, зарубежные, детективы, мелодрамы         Испания       NaN   \n",
-              "1                  зарубежные, приключения, комедии             США       NaN   \n",
-              "2  криминал, зарубежные, триллеры, боевики, комедии          Канада       NaN   \n",
-              "3                      драмы, зарубежные, мелодрамы  Великобритания       NaN   \n",
-              "4                драмы, спорт, советские, мелодрамы            СССР       NaN   \n",
-              "\n",
-              "   age_rating   studios         directors  \\\n",
-              "0        16.0       NaN  Педро Альмодовар   \n",
-              "1        16.0       NaN    Скот Армстронг   \n",
-              "2        16.0       NaN  Адам П. Калтраро   \n",
-              "3        16.0       NaN         Эндрю Хэй   \n",
-              "4        12.0  Ленфильм  Виктор Садовский   \n",
-              "\n",
-              "                                              actors  \\\n",
-              "0  Адольфо Фернандес, Ана Фернандес, Дарио Гранди...   \n",
-              "1  Адам Палли, Брайан Хаски, Дж.Б. Смув, Джейсон ...   \n",
-              "2  Адриан Холмс, Даррен Шалави, Джерри Вассерман,...   \n",
-              "3  Александра Риддлстон-Барретт, Джеральдин Джейм...   \n",
-              "4  Александр Абдулов, Александр Демьяненко, Алекс...   \n",
-              "\n",
-              "                                         description  \\\n",
-              "0  Мелодрама легендарного Педро Альмодовара «Пого...   \n",
-              "1  Уморительная современная комедия на популярную...   \n",
-              "2  Профессиональный рестлер Стив Остин («Все или ...   \n",
-              "3  Шарлотта Рэмплинг, Том Кортни, Джеральдин Джей...   \n",
-              "4  Расчетливая чаровница из советского кинохита «...   \n",
-              "\n",
-              "                                            keywords  \n",
-              "0  Поговори, ней, 2002, Испания, друзья, любовь, ...  \n",
-              "1  Голые, перцы, 2014, США, друзья, свадьбы, прео...  \n",
-              "2  Тактическая, сила, 2011, Канада, бандиты, ганг...  \n",
-              "3  45, лет, 2015, Великобритания, брак, жизнь, лю...  \n",
-              "4  Все, решает, мгновение, 1978, СССР, сильные, ж...  "
-            ],
-            "text/html": [
-              "\n",
-              "  <div id=\"df-28977b98-3d6d-402f-bf21-efcb1122d5b1\" class=\"colab-df-container\">\n",
-              "    <div>\n",
-              "<style scoped>\n",
-              "    .dataframe tbody tr th:only-of-type {\n",
-              "        vertical-align: middle;\n",
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-              "\n",
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-              "        vertical-align: top;\n",
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-              "\n",
-              "    .dataframe thead th {\n",
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-              "<table border=\"1\" class=\"dataframe\">\n",
-              "  <thead>\n",
-              "    <tr style=\"text-align: right;\">\n",
-              "      <th></th>\n",
-              "      <th>item_id</th>\n",
-              "      <th>content_type</th>\n",
-              "      <th>title</th>\n",
-              "      <th>title_orig</th>\n",
-              "      <th>release_year</th>\n",
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-              "      <th>for_kids</th>\n",
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-              "      <th>directors</th>\n",
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-              "    </tr>\n",
-              "  </thead>\n",
-              "  <tbody>\n",
-              "    <tr>\n",
-              "      <th>0</th>\n",
-              "      <td>10711</td>\n",
-              "      <td>film</td>\n",
-              "      <td>Поговори с ней</td>\n",
-              "      <td>Hable con ella</td>\n",
-              "      <td>2002.0</td>\n",
-              "      <td>драмы, зарубежные, детективы, мелодрамы</td>\n",
-              "      <td>Испания</td>\n",
-              "      <td>NaN</td>\n",
-              "      <td>16.0</td>\n",
-              "      <td>NaN</td>\n",
-              "      <td>Педро Альмодовар</td>\n",
-              "      <td>Адольфо Фернандес, Ана Фернандес, Дарио Гранди...</td>\n",
-              "      <td>Мелодрама легендарного Педро Альмодовара «Пого...</td>\n",
-              "      <td>Поговори, ней, 2002, Испания, друзья, любовь, ...</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>1</th>\n",
-              "      <td>2508</td>\n",
-              "      <td>film</td>\n",
-              "      <td>Голые перцы</td>\n",
-              "      <td>Search Party</td>\n",
-              "      <td>2014.0</td>\n",
-              "      <td>зарубежные, приключения, комедии</td>\n",
-              "      <td>США</td>\n",
-              "      <td>NaN</td>\n",
-              "      <td>16.0</td>\n",
-              "      <td>NaN</td>\n",
-              "      <td>Скот Армстронг</td>\n",
-              "      <td>Адам Палли, Брайан Хаски, Дж.Б. Смув, Джейсон ...</td>\n",
-              "      <td>Уморительная современная комедия на популярную...</td>\n",
-              "      <td>Голые, перцы, 2014, США, друзья, свадьбы, прео...</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>2</th>\n",
-              "      <td>10716</td>\n",
-              "      <td>film</td>\n",
-              "      <td>Тактическая сила</td>\n",
-              "      <td>Tactical Force</td>\n",
-              "      <td>2011.0</td>\n",
-              "      <td>криминал, зарубежные, триллеры, боевики, комедии</td>\n",
-              "      <td>Канада</td>\n",
-              "      <td>NaN</td>\n",
-              "      <td>16.0</td>\n",
-              "      <td>NaN</td>\n",
-              "      <td>Адам П. Калтраро</td>\n",
-              "      <td>Адриан Холмс, Даррен Шалави, Джерри Вассерман,...</td>\n",
-              "      <td>Профессиональный рестлер Стив Остин («Все или ...</td>\n",
-              "      <td>Тактическая, сила, 2011, Канада, бандиты, ганг...</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>3</th>\n",
-              "      <td>7868</td>\n",
-              "      <td>film</td>\n",
-              "      <td>45 лет</td>\n",
-              "      <td>45 Years</td>\n",
-              "      <td>2015.0</td>\n",
-              "      <td>драмы, зарубежные, мелодрамы</td>\n",
-              "      <td>Великобритания</td>\n",
-              "      <td>NaN</td>\n",
-              "      <td>16.0</td>\n",
-              "      <td>NaN</td>\n",
-              "      <td>Эндрю Хэй</td>\n",
-              "      <td>Александра Риддлстон-Барретт, Джеральдин Джейм...</td>\n",
-              "      <td>Шарлотта Рэмплинг, Том Кортни, Джеральдин Джей...</td>\n",
-              "      <td>45, лет, 2015, Великобритания, брак, жизнь, лю...</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>4</th>\n",
-              "      <td>16268</td>\n",
-              "      <td>film</td>\n",
-              "      <td>Все решает мгновение</td>\n",
-              "      <td>NaN</td>\n",
-              "      <td>1978.0</td>\n",
-              "      <td>драмы, спорт, советские, мелодрамы</td>\n",
-              "      <td>СССР</td>\n",
-              "      <td>NaN</td>\n",
-              "      <td>12.0</td>\n",
-              "      <td>Ленфильм</td>\n",
-              "      <td>Виктор Садовский</td>\n",
-              "      <td>Александр Абдулов, Александр Демьяненко, Алекс...</td>\n",
-              "      <td>Расчетливая чаровница из советского кинохита «...</td>\n",
-              "      <td>Все, решает, мгновение, 1978, СССР, сильные, ж...</td>\n",
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-              "\n",
-              "  <style>\n",
-              "    .colab-df-container {\n",
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-              "\n",
-              "    .colab-df-convert {\n",
-              "      background-color: #E8F0FE;\n",
-              "      border: none;\n",
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-              "      padding: 0 0 0 0;\n",
-              "      width: 32px;\n",
-              "    }\n",
-              "\n",
-              "    .colab-df-convert:hover {\n",
-              "      background-color: #E2EBFA;\n",
-              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
-              "      fill: #174EA6;\n",
-              "    }\n",
-              "\n",
-              "    .colab-df-buttons div {\n",
-              "      margin-bottom: 4px;\n",
-              "    }\n",
-              "\n",
-              "    [theme=dark] .colab-df-convert {\n",
-              "      background-color: #3B4455;\n",
-              "      fill: #D2E3FC;\n",
-              "    }\n",
-              "\n",
-              "    [theme=dark] .colab-df-convert:hover {\n",
-              "      background-color: #434B5C;\n",
-              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
-              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
-              "      fill: #FFFFFF;\n",
-              "    }\n",
-              "  </style>\n",
-              "\n",
-              "    <script>\n",
-              "      const buttonEl =\n",
-              "        document.querySelector('#df-28977b98-3d6d-402f-bf21-efcb1122d5b1 button.colab-df-convert');\n",
-              "      buttonEl.style.display =\n",
-              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
-              "\n",
-              "      async function convertToInteractive(key) {\n",
-              "        const element = document.querySelector('#df-28977b98-3d6d-402f-bf21-efcb1122d5b1');\n",
-              "        const dataTable =\n",
-              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
-              "                                                    [key], {});\n",
-              "        if (!dataTable) return;\n",
-              "\n",
-              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
-              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
-              "          + ' to learn more about interactive tables.';\n",
-              "        element.innerHTML = '';\n",
-              "        dataTable['output_type'] = 'display_data';\n",
-              "        await google.colab.output.renderOutput(dataTable, element);\n",
-              "        const docLink = document.createElement('div');\n",
-              "        docLink.innerHTML = docLinkHtml;\n",
-              "        element.appendChild(docLink);\n",
-              "      }\n",
-              "    </script>\n",
-              "  </div>\n",
-              "\n",
-              "\n",
-              "<div id=\"df-06d8e43a-7d41-4e5a-9c21-d4491207a103\">\n",
-              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-06d8e43a-7d41-4e5a-9c21-d4491207a103')\"\n",
-              "            title=\"Suggest charts\"\n",
-              "            style=\"display:none;\">\n",
-              "\n",
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-              "    </g>\n",
-              "</svg>\n",
-              "  </button>\n",
-              "\n",
-              "<style>\n",
-              "  .colab-df-quickchart {\n",
-              "      --bg-color: #E8F0FE;\n",
-              "      --fill-color: #1967D2;\n",
-              "      --hover-bg-color: #E2EBFA;\n",
-              "      --hover-fill-color: #174EA6;\n",
-              "      --disabled-fill-color: #AAA;\n",
-              "      --disabled-bg-color: #DDD;\n",
-              "  }\n",
-              "\n",
-              "  [theme=dark] .colab-df-quickchart {\n",
-              "      --bg-color: #3B4455;\n",
-              "      --fill-color: #D2E3FC;\n",
-              "      --hover-bg-color: #434B5C;\n",
-              "      --hover-fill-color: #FFFFFF;\n",
-              "      --disabled-bg-color: #3B4455;\n",
-              "      --disabled-fill-color: #666;\n",
-              "  }\n",
-              "\n",
-              "  .colab-df-quickchart {\n",
-              "    background-color: var(--bg-color);\n",
-              "    border: none;\n",
-              "    border-radius: 50%;\n",
-              "    cursor: pointer;\n",
-              "    display: none;\n",
-              "    fill: var(--fill-color);\n",
-              "    height: 32px;\n",
-              "    padding: 0;\n",
-              "    width: 32px;\n",
-              "  }\n",
-              "\n",
-              "  .colab-df-quickchart:hover {\n",
-              "    background-color: var(--hover-bg-color);\n",
-              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
-              "    fill: var(--button-hover-fill-color);\n",
-              "  }\n",
-              "\n",
-              "  .colab-df-quickchart-complete:disabled,\n",
-              "  .colab-df-quickchart-complete:disabled:hover {\n",
-              "    background-color: var(--disabled-bg-color);\n",
-              "    fill: var(--disabled-fill-color);\n",
-              "    box-shadow: none;\n",
-              "  }\n",
-              "\n",
-              "  .colab-df-spinner {\n",
-              "    border: 2px solid var(--fill-color);\n",
-              "    border-color: transparent;\n",
-              "    border-bottom-color: var(--fill-color);\n",
-              "    animation:\n",
-              "      spin 1s steps(1) infinite;\n",
-              "  }\n",
-              "\n",
-              "  @keyframes spin {\n",
-              "    0% {\n",
-              "      border-color: transparent;\n",
-              "      border-bottom-color: var(--fill-color);\n",
-              "      border-left-color: var(--fill-color);\n",
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-              "      border-left-color: var(--fill-color);\n",
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-              "      border-left-color: var(--fill-color);\n",
-              "      border-top-color: var(--fill-color);\n",
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-              "    40% {\n",
-              "      border-color: transparent;\n",
-              "      border-right-color: var(--fill-color);\n",
-              "      border-top-color: var(--fill-color);\n",
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-              "    60% {\n",
-              "      border-color: transparent;\n",
-              "      border-right-color: var(--fill-color);\n",
-              "    }\n",
-              "    80% {\n",
-              "      border-color: transparent;\n",
-              "      border-right-color: var(--fill-color);\n",
-              "      border-bottom-color: var(--fill-color);\n",
-              "    }\n",
-              "    90% {\n",
-              "      border-color: transparent;\n",
-              "      border-bottom-color: var(--fill-color);\n",
-              "    }\n",
-              "  }\n",
-              "</style>\n",
-              "\n",
-              "  <script>\n",
-              "    async function quickchart(key) {\n",
-              "      const quickchartButtonEl =\n",
-              "        document.querySelector('#' + key + ' button');\n",
-              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
-              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
-              "      try {\n",
-              "        const charts = await google.colab.kernel.invokeFunction(\n",
-              "            'suggestCharts', [key], {});\n",
-              "      } catch (error) {\n",
-              "        console.error('Error during call to suggestCharts:', error);\n",
-              "      }\n",
-              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
-              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
-              "    }\n",
-              "    (() => {\n",
-              "      let quickchartButtonEl =\n",
-              "        document.querySelector('#df-06d8e43a-7d41-4e5a-9c21-d4491207a103 button');\n",
-              "      quickchartButtonEl.style.display =\n",
-              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
-              "    })();\n",
-              "  </script>\n",
-              "</div>\n",
-              "    </div>\n",
-              "  </div>\n"
-            ]
-          },
-          "metadata": {},
-          "execution_count": 15
-        }
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "source": [
-        "Возьмем метрики: классификационные (Precision, Recall), метрики ранжирования (MAP, NDCG), специальные (Serendipity, Novelty)"
-      ],
-      "metadata": {
-        "id": "eUUF2kRlDL1k"
-      }
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "metrics = {\n",
-        "          \"precision\": Precision,\n",
-        "          \"recall\": Recall,\n",
-        "          \"MAP\": MAP,\n",
-        "          \"NDCG\": NDCG,\n",
-        "          \"serendipity\": Serendipity,\n",
-        "          \"novelty\": MeanInvUserFreq\n",
-        "    }\n",
-        "\n",
-        "k = [1, 5, 10]"
-      ],
-      "metadata": {
-        "id": "s028iLIjA4BL"
-      },
-      "execution_count": 68,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "def compute_metrics(metrics, K):\n",
-        "    metrics_at_k = {}\n",
-        "\n",
-        "    for key, value in metrics.items():\n",
-        "        kwargs = {}\n",
-        "        if isinstance(value, tuple):\n",
-        "            kwargs.update(**value[1])\n",
-        "            value = value[0]\n",
-        "\n",
-        "        metrics_at_k.update({f\"{key}@{k}\": value(k=k, **kwargs) for k in K})\n",
-        "\n",
-        "    return metrics_at_k"
-      ],
-      "metadata": {
-        "id": "-X8nK9YuGeAy"
-      },
-      "execution_count": 69,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "metrics_at_k = compute_metrics(metrics, k)"
-      ],
-      "metadata": {
-        "id": "hnHzx2RDGgil"
-      },
-      "execution_count": 70,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "metrics_at_k"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "BCNAO707P_3J",
-        "outputId": "f092c764-b467-408b-b997-75687a80344c"
-      },
-      "execution_count": 71,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "{'precision@1': Precision(k=1),\n",
-              " 'precision@5': Precision(k=5),\n",
-              " 'precision@10': Precision(k=10),\n",
-              " 'recall@1': Recall(k=1),\n",
-              " 'recall@5': Recall(k=5),\n",
-              " 'recall@10': Recall(k=10),\n",
-              " 'MAP@1': MAP(k=1, divide_by_k=False),\n",
-              " 'MAP@5': MAP(k=5, divide_by_k=False),\n",
-              " 'MAP@10': MAP(k=10, divide_by_k=False),\n",
-              " 'NDCG@1': NDCG(k=1, log_base=2),\n",
-              " 'NDCG@5': NDCG(k=5, log_base=2),\n",
-              " 'NDCG@10': NDCG(k=10, log_base=2),\n",
-              " 'serendipity@1': Serendipity(k=1),\n",
-              " 'serendipity@5': Serendipity(k=5),\n",
-              " 'serendipity@10': Serendipity(k=10),\n",
-              " 'novelty@1': MeanInvUserFreq(k=1),\n",
-              " 'novelty@5': MeanInvUserFreq(k=5),\n",
-              " 'novelty@10': MeanInvUserFreq(k=10)}"
-            ]
-          },
-          "metadata": {},
-          "execution_count": 71
-        }
-      ]
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "def computation_metrics(models, metrics, splitter, interactions, k):\n",
-        "\n",
-        "    results = []\n",
-        "    interactions_data = Interactions(interactions)\n",
-        "    fold_iterator = splitter.split(interactions_data, collect_fold_stats=True)\n",
-        "\n",
-        "    for train_ids, test_ids, fold_info in fold_iterator:\n",
-        "\n",
-        "        df_train = interactions_data.df.iloc[train_ids]\n",
-        "        df_test = interactions_data.df.iloc[test_ids][Columns.UserItem]\n",
-        "\n",
-        "        dataset = Dataset.construct(df_train)\n",
-        "        test_users = np.unique(df_test[Columns.User])\n",
-        "\n",
-        "        catalog = df_train[Columns.Item].unique()\n",
-        "\n",
-        "        for key, value in models.items():\n",
-        "\n",
-        "            model = deepcopy(value)\n",
-        "\n",
-        "            start = time.time()\n",
-        "            model.fit(dataset)\n",
-        "            stop = time.time()\n",
-        "\n",
-        "            reco = model.recommend(users=test_users, dataset=dataset, k=k, filter_viewed=True)\n",
-        "\n",
-        "            metric_values = calc_metrics(\n",
-        "                metrics,\n",
-        "                reco=reco,\n",
-        "                interactions=df_test,\n",
-        "                prev_interactions=df_train,\n",
-        "                catalog=catalog,\n",
-        "            )\n",
-        "\n",
-        "            times = {\"model\": key, \"time\": stop - start}\n",
-        "            times.update(metric_values)\n",
-        "            results.append(times)\n",
-        "\n",
-        "    results_df = pd.DataFrame(results)\n",
-        "\n",
-        "    return results_df"
-      ],
-      "metadata": {
-        "id": "ykxIWnNcJcQ-"
-      },
-      "execution_count": 72,
-      "outputs": []
-    },
-    {
-      "cell_type": "markdown",
-      "source": [
-        "Сплиттер: 3 фолда для кросс-валидации по неделе, исключение холодных юзеров и айтемов и просмотренных айтемов"
-      ],
-      "metadata": {
-        "id": "zx8USwNZU85w"
-      }
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "splitter = TimeRangeSplitter(test_size=\"7D\", n_splits=3, filter_cold_users=True, filter_cold_items=True, filter_already_seen=True)"
-      ],
-      "metadata": {
-        "id": "VQDSnhLfIv8-"
-      },
-      "execution_count": 73,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "models = {\"RandomModel\": RandomModel(), \"PopularModel\": PopularModel()}\n",
-        "\n",
-        "results = computation_metrics(models, metrics_at_k, splitter, interactions, 10)"
-      ],
-      "metadata": {
-        "id": "ev1D_mS8HjdI"
-      },
-      "execution_count": 74,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "pd.DataFrame(results).groupby(\"model\").mean()"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 164
-        },
-        "id": "vCJr-rNPHxtj",
-        "outputId": "e65feb8b-f340-474a-9157-f00fa2baf35f"
-      },
-      "execution_count": 75,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "                  time  precision@1  recall@1  precision@5  recall@5  \\\n",
-              "model                                                                  \n",
-              "PopularModel  1.865071     0.076432  0.042720     0.052402  0.137413   \n",
-              "RandomModel   0.000046     0.000180  0.000066     0.000170  0.000318   \n",
-              "\n",
-              "              precision@10  recall@10    NDCG@1    NDCG@5   NDCG@10     MAP@1  \\\n",
-              "model                                                                           \n",
-              "PopularModel      0.033903   0.173492  0.076432  0.057932  0.043084  0.042720   \n",
-              "RandomModel       0.000166   0.000601  0.000180  0.000170  0.000167  0.000066   \n",
-              "\n",
-              "                 MAP@5    MAP@10  novelty@1  novelty@5  novelty@10  \\\n",
-              "model                                                                \n",
-              "PopularModel  0.078295  0.084109   2.377055   3.066979    3.713390   \n",
-              "RandomModel   0.000148  0.000185  15.613740  15.614079   15.613485   \n",
-              "\n",
-              "              serendipity@1  serendipity@5  serendipity@10  \n",
-              "model                                                       \n",
-              "PopularModel       0.000002       0.000003        0.000002  \n",
-              "RandomModel        0.000006       0.000006        0.000006  "
-            ],
-            "text/html": [
-              "\n",
-              "  <div id=\"df-6b996630-a579-4268-bbed-49948dcafc7d\" class=\"colab-df-container\">\n",
-              "    <div>\n",
-              "<style scoped>\n",
-              "    .dataframe tbody tr th:only-of-type {\n",
-              "        vertical-align: middle;\n",
-              "    }\n",
-              "\n",
-              "    .dataframe tbody tr th {\n",
-              "        vertical-align: top;\n",
-              "    }\n",
-              "\n",
-              "    .dataframe thead th {\n",
-              "        text-align: right;\n",
-              "    }\n",
-              "</style>\n",
-              "<table border=\"1\" class=\"dataframe\">\n",
-              "  <thead>\n",
-              "    <tr style=\"text-align: right;\">\n",
-              "      <th></th>\n",
-              "      <th>time</th>\n",
-              "      <th>precision@1</th>\n",
-              "      <th>recall@1</th>\n",
-              "      <th>precision@5</th>\n",
-              "      <th>recall@5</th>\n",
-              "      <th>precision@10</th>\n",
-              "      <th>recall@10</th>\n",
-              "      <th>NDCG@1</th>\n",
-              "      <th>NDCG@5</th>\n",
-              "      <th>NDCG@10</th>\n",
-              "      <th>MAP@1</th>\n",
-              "      <th>MAP@5</th>\n",
-              "      <th>MAP@10</th>\n",
-              "      <th>novelty@1</th>\n",
-              "      <th>novelty@5</th>\n",
-              "      <th>novelty@10</th>\n",
-              "      <th>serendipity@1</th>\n",
-              "      <th>serendipity@5</th>\n",
-              "      <th>serendipity@10</th>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>model</th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "    </tr>\n",
-              "  </thead>\n",
-              "  <tbody>\n",
-              "    <tr>\n",
-              "      <th>PopularModel</th>\n",
-              "      <td>1.865071</td>\n",
-              "      <td>0.076432</td>\n",
-              "      <td>0.042720</td>\n",
-              "      <td>0.052402</td>\n",
-              "      <td>0.137413</td>\n",
-              "      <td>0.033903</td>\n",
-              "      <td>0.173492</td>\n",
-              "      <td>0.076432</td>\n",
-              "      <td>0.057932</td>\n",
-              "      <td>0.043084</td>\n",
-              "      <td>0.042720</td>\n",
-              "      <td>0.078295</td>\n",
-              "      <td>0.084109</td>\n",
-              "      <td>2.377055</td>\n",
-              "      <td>3.066979</td>\n",
-              "      <td>3.713390</td>\n",
-              "      <td>0.000002</td>\n",
-              "      <td>0.000003</td>\n",
-              "      <td>0.000002</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>RandomModel</th>\n",
-              "      <td>0.000046</td>\n",
-              "      <td>0.000180</td>\n",
-              "      <td>0.000066</td>\n",
-              "      <td>0.000170</td>\n",
-              "      <td>0.000318</td>\n",
-              "      <td>0.000166</td>\n",
-              "      <td>0.000601</td>\n",
-              "      <td>0.000180</td>\n",
-              "      <td>0.000170</td>\n",
-              "      <td>0.000167</td>\n",
-              "      <td>0.000066</td>\n",
-              "      <td>0.000148</td>\n",
-              "      <td>0.000185</td>\n",
-              "      <td>15.613740</td>\n",
-              "      <td>15.614079</td>\n",
-              "      <td>15.613485</td>\n",
-              "      <td>0.000006</td>\n",
-              "      <td>0.000006</td>\n",
-              "      <td>0.000006</td>\n",
-              "    </tr>\n",
-              "  </tbody>\n",
-              "</table>\n",
-              "</div>\n",
-              "    <div class=\"colab-df-buttons\">\n",
-              "\n",
-              "  <div class=\"colab-df-container\">\n",
-              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6b996630-a579-4268-bbed-49948dcafc7d')\"\n",
-              "            title=\"Convert this dataframe to an interactive table.\"\n",
-              "            style=\"display:none;\">\n",
-              "\n",
-              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
-              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
-              "  </svg>\n",
-              "    </button>\n",
-              "\n",
-              "  <style>\n",
-              "    .colab-df-container {\n",
-              "      display:flex;\n",
-              "      gap: 12px;\n",
-              "    }\n",
-              "\n",
-              "    .colab-df-convert {\n",
-              "      background-color: #E8F0FE;\n",
-              "      border: none;\n",
-              "      border-radius: 50%;\n",
-              "      cursor: pointer;\n",
-              "      display: none;\n",
-              "      fill: #1967D2;\n",
-              "      height: 32px;\n",
-              "      padding: 0 0 0 0;\n",
-              "      width: 32px;\n",
-              "    }\n",
-              "\n",
-              "    .colab-df-convert:hover {\n",
-              "      background-color: #E2EBFA;\n",
-              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
-              "      fill: #174EA6;\n",
-              "    }\n",
-              "\n",
-              "    .colab-df-buttons div {\n",
-              "      margin-bottom: 4px;\n",
-              "    }\n",
-              "\n",
-              "    [theme=dark] .colab-df-convert {\n",
-              "      background-color: #3B4455;\n",
-              "      fill: #D2E3FC;\n",
-              "    }\n",
-              "\n",
-              "    [theme=dark] .colab-df-convert:hover {\n",
-              "      background-color: #434B5C;\n",
-              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
-              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
-              "      fill: #FFFFFF;\n",
-              "    }\n",
-              "  </style>\n",
-              "\n",
-              "    <script>\n",
-              "      const buttonEl =\n",
-              "        document.querySelector('#df-6b996630-a579-4268-bbed-49948dcafc7d button.colab-df-convert');\n",
-              "      buttonEl.style.display =\n",
-              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
-              "\n",
-              "      async function convertToInteractive(key) {\n",
-              "        const element = document.querySelector('#df-6b996630-a579-4268-bbed-49948dcafc7d');\n",
-              "        const dataTable =\n",
-              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
-              "                                                    [key], {});\n",
-              "        if (!dataTable) return;\n",
-              "\n",
-              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
-              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
-              "          + ' to learn more about interactive tables.';\n",
-              "        element.innerHTML = '';\n",
-              "        dataTable['output_type'] = 'display_data';\n",
-              "        await google.colab.output.renderOutput(dataTable, element);\n",
-              "        const docLink = document.createElement('div');\n",
-              "        docLink.innerHTML = docLinkHtml;\n",
-              "        element.appendChild(docLink);\n",
-              "      }\n",
-              "    </script>\n",
-              "  </div>\n",
-              "\n",
-              "\n",
-              "<div id=\"df-ac358726-70f5-4737-9cf7-298b122f974d\">\n",
-              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-ac358726-70f5-4737-9cf7-298b122f974d')\"\n",
-              "            title=\"Suggest charts\"\n",
-              "            style=\"display:none;\">\n",
-              "\n",
-              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
-              "     width=\"24px\">\n",
-              "    <g>\n",
-              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
-              "    </g>\n",
-              "</svg>\n",
-              "  </button>\n",
-              "\n",
-              "<style>\n",
-              "  .colab-df-quickchart {\n",
-              "      --bg-color: #E8F0FE;\n",
-              "      --fill-color: #1967D2;\n",
-              "      --hover-bg-color: #E2EBFA;\n",
-              "      --hover-fill-color: #174EA6;\n",
-              "      --disabled-fill-color: #AAA;\n",
-              "      --disabled-bg-color: #DDD;\n",
-              "  }\n",
-              "\n",
-              "  [theme=dark] .colab-df-quickchart {\n",
-              "      --bg-color: #3B4455;\n",
-              "      --fill-color: #D2E3FC;\n",
-              "      --hover-bg-color: #434B5C;\n",
-              "      --hover-fill-color: #FFFFFF;\n",
-              "      --disabled-bg-color: #3B4455;\n",
-              "      --disabled-fill-color: #666;\n",
-              "  }\n",
-              "\n",
-              "  .colab-df-quickchart {\n",
-              "    background-color: var(--bg-color);\n",
-              "    border: none;\n",
-              "    border-radius: 50%;\n",
-              "    cursor: pointer;\n",
-              "    display: none;\n",
-              "    fill: var(--fill-color);\n",
-              "    height: 32px;\n",
-              "    padding: 0;\n",
-              "    width: 32px;\n",
-              "  }\n",
-              "\n",
-              "  .colab-df-quickchart:hover {\n",
-              "    background-color: var(--hover-bg-color);\n",
-              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
-              "    fill: var(--button-hover-fill-color);\n",
-              "  }\n",
-              "\n",
-              "  .colab-df-quickchart-complete:disabled,\n",
-              "  .colab-df-quickchart-complete:disabled:hover {\n",
-              "    background-color: var(--disabled-bg-color);\n",
-              "    fill: var(--disabled-fill-color);\n",
-              "    box-shadow: none;\n",
-              "  }\n",
-              "\n",
-              "  .colab-df-spinner {\n",
-              "    border: 2px solid var(--fill-color);\n",
-              "    border-color: transparent;\n",
-              "    border-bottom-color: var(--fill-color);\n",
-              "    animation:\n",
-              "      spin 1s steps(1) infinite;\n",
-              "  }\n",
-              "\n",
-              "  @keyframes spin {\n",
-              "    0% {\n",
-              "      border-color: transparent;\n",
-              "      border-bottom-color: var(--fill-color);\n",
-              "      border-left-color: var(--fill-color);\n",
-              "    }\n",
-              "    20% {\n",
-              "      border-color: transparent;\n",
-              "      border-left-color: var(--fill-color);\n",
-              "      border-top-color: var(--fill-color);\n",
-              "    }\n",
-              "    30% {\n",
-              "      border-color: transparent;\n",
-              "      border-left-color: var(--fill-color);\n",
-              "      border-top-color: var(--fill-color);\n",
-              "      border-right-color: var(--fill-color);\n",
-              "    }\n",
-              "    40% {\n",
-              "      border-color: transparent;\n",
-              "      border-right-color: var(--fill-color);\n",
-              "      border-top-color: var(--fill-color);\n",
-              "    }\n",
-              "    60% {\n",
-              "      border-color: transparent;\n",
-              "      border-right-color: var(--fill-color);\n",
-              "    }\n",
-              "    80% {\n",
-              "      border-color: transparent;\n",
-              "      border-right-color: var(--fill-color);\n",
-              "      border-bottom-color: var(--fill-color);\n",
-              "    }\n",
-              "    90% {\n",
-              "      border-color: transparent;\n",
-              "      border-bottom-color: var(--fill-color);\n",
-              "    }\n",
-              "  }\n",
-              "</style>\n",
-              "\n",
-              "  <script>\n",
-              "    async function quickchart(key) {\n",
-              "      const quickchartButtonEl =\n",
-              "        document.querySelector('#' + key + ' button');\n",
-              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
-              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
-              "      try {\n",
-              "        const charts = await google.colab.kernel.invokeFunction(\n",
-              "            'suggestCharts', [key], {});\n",
-              "      } catch (error) {\n",
-              "        console.error('Error during call to suggestCharts:', error);\n",
-              "      }\n",
-              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
-              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
-              "    }\n",
-              "    (() => {\n",
-              "      let quickchartButtonEl =\n",
-              "        document.querySelector('#df-ac358726-70f5-4737-9cf7-298b122f974d button');\n",
-              "      quickchartButtonEl.style.display =\n",
-              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
-              "    })();\n",
-              "  </script>\n",
-              "</div>\n",
-              "    </div>\n",
-              "  </div>\n"
-            ]
-          },
-          "metadata": {},
-          "execution_count": 75
-        }
-      ]
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "def visualized(model, dataset, users, features, items):\n",
-        "\n",
-        "  if model.is_fitted == False:\n",
-        "        raise Exception('model is not fitted')\n",
-        "\n",
-        "  recommendations = model.recommend(users, dataset, 3, True)\n",
-        "  interactions_data = dataset.interactions.df\n",
-        "  history = interactions_data[interactions_data.user_id.isin(users)]\n",
-        "\n",
-        "  for user in users:\n",
-        "\n",
-        "    history_for_user = history[history.user_id.isin([user])]\n",
-        "    hist = items.join(history_for_user.set_index('item_id'), on='item_id')[[\"user_id\"] + features]\n",
-        "    hist_for_id = hist.loc[hist['user_id'].isin([user])]\n",
-        "    print(f\"Пользователь с id {user} уже посмотрел:\")\n",
-        "    print(hist_for_id)\n",
-        "    print('')\n",
-        "\n",
-        "    recommendations_for_id = model.recommend(users, dataset, 3, True)\n",
-        "    rec = pd.merge(recommendations_for_id, items)[[\"user_id\"] + features]\n",
-        "    rec_for_id = rec.loc[rec['user_id'].isin([user])]\n",
-        "\n",
-        "    print(f\"Пользователю с id {user} можно порекомендовать:\")\n",
-        "    print(rec_for_id)\n",
-        "    print('')\n",
-        "    print('')"
-      ],
-      "metadata": {
-        "id": "GccJWs1aQUmN"
-      },
-      "execution_count": 92,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "model = RandomModel(random_state=32)\n",
-        "dataset = Dataset.construct(interactions)\n",
-        "model.fit(dataset)\n",
-        "users = np.array([666262, 672861, 955527])"
-      ],
-      "metadata": {
-        "id": "v0F4yRc_SB53"
-      },
-      "execution_count": 93,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "visualized(model, dataset, users, [\"title\"], items)"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "HxekR0z_SFEZ",
-        "outputId": "10680310-1264-4874-faed-24f33258f54c"
-      },
-      "execution_count": 94,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "Пользователь с id 666262 уже посмотрел:\n",
-            "        user_id                 title\n",
-            "11230  666262.0  Дом ночных призраков\n",
-            "\n",
-            "Пользователю с id 666262 можно порекомендовать:\n",
-            "   user_id                                         title\n",
-            "0   666262                           Возвращение Будулая\n",
-            "1   666262  Новые приключения Аладдина (жестовым языком)\n",
-            "2   666262                             Пропавшая грамота\n",
-            "\n",
-            "\n",
-            "Пользователь с id 672861 уже посмотрел:\n",
-            "        user_id                          title\n",
-            "11182  672861.0                 В ритме сердца\n",
-            "13578  672861.0  Медвежонок Винни и его друзья\n",
-            "\n",
-            "Пользователю с id 672861 можно порекомендовать:\n",
-            "   user_id                     title\n",
-            "3   672861          Женщина в беде 3\n",
-            "4   672861  Гордость и предубеждение\n",
-            "5   672861                Болванчики\n",
-            "\n",
-            "\n",
-            "Пользователь с id 955527 уже посмотрел:\n",
-            "       user_id        title\n",
-            "8909  955527.0  Признание 5\n",
-            "\n",
-            "Пользователю с id 955527 можно порекомендовать:\n",
-            "   user_id                      title\n",
-            "6   955527               Солдат Джейн\n",
-            "7   955527               Спеши любить\n",
-            "8   955527  Комната (жестовым языком)\n",
-            "\n",
-            "\n"
-          ]
-        }
-      ]
-    },
-    {
-      "cell_type": "code",
-      "source": [],
-      "metadata": {
-        "id": "39Ce1wmoTNpZ"
-      },
-      "execution_count": null,
-      "outputs": []
-    }
-  ]
-}
\ No newline at end of file