Collaborative_Filtering.ipynb

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      "name": "Collaborative Filtering.ipynb",
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      "source": [
        "<a href=\"https://colab.research.google.com/github/golesuman/66daysofdata/blob/main/Collaborative_Filtering.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "cell_type": "markdown",
      "source": [
        "## This is the colaborative filtering\n"
      ],
      "metadata": {
        "id": "LLUcooYnLNrO"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "from io import StringIO\n",
        "from scipy import sparse\n",
        "from sklearn.metrics.pairwise import cosine_similarity"
      ],
      "metadata": {
        "id": "KvENX7FRLijx"
      },
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!unzip Collaborative\\ Filtering\\ Dataset.zip"
      ],
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        },
        "id": "vnVzRJYrLrYF",
        "outputId": "20258d9f-86f7-4131-a182-38610a3e7f11"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Archive:  Collaborative Filtering Dataset.zip\n",
            "replace dataset/links.csv? [y]es, [n]o, [A]ll, [N]one, [r]ename: A\n",
            "  inflating: dataset/links.csv       \n",
            "  inflating: __MACOSX/dataset/._links.csv  \n",
            "  inflating: dataset/tags.csv        \n",
            "  inflating: __MACOSX/dataset/._tags.csv  \n",
            "  inflating: dataset/ratings.csv     \n",
            "  inflating: __MACOSX/dataset/._ratings.csv  \n",
            "  inflating: dataset/README.txt      \n",
            "  inflating: __MACOSX/dataset/._README.txt  \n",
            "  inflating: dataset/movies.csv      \n",
            "  inflating: __MACOSX/dataset/._movies.csv  \n"
          ]
        }
      ]
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        "df=pd.read_csv(StringIO(text),delimiter=',',index_col=0)\n",
        "df.head()"
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        "df=df.fillna(0)\n",
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>action1</th>\n",
              "      <th>action2</th>\n",
              "      <th>action3</th>\n",
              "      <th>romantic1</th>\n",
              "      <th>romantic2</th>\n",
              "      <th>romantic3</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>user 1</th>\n",
              "      <td>0.36</td>\n",
              "      <td>0.6</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>-0.65</td>\n",
              "      <td>-0.08</td>\n",
              "      <td>-0.35</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>user 2</th>\n",
              "      <td>0.56</td>\n",
              "      <td>0.2</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>-0.15</td>\n",
              "      <td>-0.08</td>\n",
              "      <td>-0.60</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>user 3</th>\n",
              "      <td>-0.24</td>\n",
              "      <td>-0.4</td>\n",
              "      <td>-0.600000</td>\n",
              "      <td>0.35</td>\n",
              "      <td>0.52</td>\n",
              "      <td>0.40</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>user 4</th>\n",
              "      <td>-0.44</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-0.266667</td>\n",
              "      <td>0.35</td>\n",
              "      <td>-0.48</td>\n",
              "      <td>0.15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>user 5</th>\n",
              "      <td>-0.24</td>\n",
              "      <td>-0.4</td>\n",
              "      <td>0.066667</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.12</td>\n",
              "      <td>0.40</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ab68979a-3072-40e8-ab87-d637f521fc8f')\"\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 0 24 24\"\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\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",
              "    [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-ab68979a-3072-40e8-ab87-d637f521fc8f 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-ab68979a-3072-40e8-ab87-d637f521fc8f');\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",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "item_similarity = cosine_similarity(ratings_std.T)\n",
        "print(item_similarity)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nGGi3ynEPAsH",
        "outputId": "4ed51a5d-060b-4191-e424-2bdf97920842"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[ 1.          0.70668875  0.81368151 -0.79941088 -0.02539184 -0.91410609]\n",
            " [ 0.70668875  1.          0.72310153 -0.84515425 -0.5189993  -0.84337386]\n",
            " [ 0.81368151  0.72310153  1.         -0.84794611 -0.3799803  -0.80218063]\n",
            " [-0.79941088 -0.84515425 -0.84794611  1.          0.14803913  0.72374686]\n",
            " [-0.02539184 -0.5189993  -0.3799803   0.14803913  1.          0.39393939]\n",
            " [-0.91410609 -0.84337386 -0.80218063  0.72374686  0.39393939  1.        ]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "item_similarity_df=pd.DataFrame(item_similarity,index=df.columns,columns=df.columns)\n",
        "item_similarity_df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "BmWQ7MrVPnOS",
        "outputId": "0042e59b-bc47-4a3c-8680-249d7eb93b60"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "            action1   action2   action3  romantic1  romantic2  romantic3\n",
              "action1    1.000000  0.706689  0.813682  -0.799411  -0.025392  -0.914106\n",
              "action2    0.706689  1.000000  0.723102  -0.845154  -0.518999  -0.843374\n",
              "action3    0.813682  0.723102  1.000000  -0.847946  -0.379980  -0.802181\n",
              "romantic1 -0.799411 -0.845154 -0.847946   1.000000   0.148039   0.723747\n",
              "romantic2 -0.025392 -0.518999 -0.379980   0.148039   1.000000   0.393939"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-90c14367-ba35-43d6-9ac7-ed43bdba68dc\">\n",
              "    <div 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>action1</th>\n",
              "      <th>action2</th>\n",
              "      <th>action3</th>\n",
              "      <th>romantic1</th>\n",
              "      <th>romantic2</th>\n",
              "      <th>romantic3</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>action1</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.706689</td>\n",
              "      <td>0.813682</td>\n",
              "      <td>-0.799411</td>\n",
              "      <td>-0.025392</td>\n",
              "      <td>-0.914106</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>action2</th>\n",
              "      <td>0.706689</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.723102</td>\n",
              "      <td>-0.845154</td>\n",
              "      <td>-0.518999</td>\n",
              "      <td>-0.843374</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>action3</th>\n",
              "      <td>0.813682</td>\n",
              "      <td>0.723102</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.847946</td>\n",
              "      <td>-0.379980</td>\n",
              "      <td>-0.802181</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>romantic1</th>\n",
              "      <td>-0.799411</td>\n",
              "      <td>-0.845154</td>\n",
              "      <td>-0.847946</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.148039</td>\n",
              "      <td>0.723747</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>romantic2</th>\n",
              "      <td>-0.025392</td>\n",
              "      <td>-0.518999</td>\n",
              "      <td>-0.379980</td>\n",
              "      <td>0.148039</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.393939</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-90c14367-ba35-43d6-9ac7-ed43bdba68dc')\"\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 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\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",
              "    [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-90c14367-ba35-43d6-9ac7-ed43bdba68dc 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-90c14367-ba35-43d6-9ac7-ed43bdba68dc');\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",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "## Lets make recommendations\n",
        "def get_similar_movies(movie_name,user_rating):\n",
        "  similar_score = item_similarity_df[movie_name]*(user_rating-2.5)\n",
        "  similar_score = similar_score.sort_values(ascending=False)\n",
        "  return similar_score\n",
        "\n",
        "\n",
        "print(get_similar_movies('romantic3',1))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bpX31W93QMt8",
        "outputId": "4477a0ba-453e-4ca7-dc02-4bdcc50539a7"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "action1      1.371159\n",
            "action2      1.265061\n",
            "action3      1.203271\n",
            "romantic2   -0.590909\n",
            "romantic1   -1.085620\n",
            "romantic3   -1.500000\n",
            "Name: romantic3, dtype: float64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "action_lover = [('action1',5), ('romantic2',1), ('romantic3',1)]\n",
        "similar_movies=pd.DataFrame()\n",
        "\n",
        "for movie,rating in action_lover:\n",
        "  similar_movies = similar_movies.append(get_similar_movies(movie,rating),ignore_index=True)\n",
        "\n",
        "similar_movies.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "gTQ29sntQ5rF",
        "outputId": "1652bd4c-6b91-46b3-8444-2833113e67c2"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    action1   action3   action2  romantic2  romantic1  romantic3\n",
              "0  2.500000  2.034204  1.766722  -0.063480  -1.998527  -2.285265\n",
              "1  0.038088  0.569970  0.778499  -1.500000  -0.222059  -0.590909\n",
              "2  1.371159  1.203271  1.265061  -0.590909  -1.085620  -1.500000"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-c4979523-759b-49b9-8943-520d9045151a\">\n",
              "    <div 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>action1</th>\n",
              "      <th>action3</th>\n",
              "      <th>action2</th>\n",
              "      <th>romantic2</th>\n",
              "      <th>romantic1</th>\n",
              "      <th>romantic3</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2.500000</td>\n",
              "      <td>2.034204</td>\n",
              "      <td>1.766722</td>\n",
              "      <td>-0.063480</td>\n",
              "      <td>-1.998527</td>\n",
              "      <td>-2.285265</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.038088</td>\n",
              "      <td>0.569970</td>\n",
              "      <td>0.778499</td>\n",
              "      <td>-1.500000</td>\n",
              "      <td>-0.222059</td>\n",
              "      <td>-0.590909</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1.371159</td>\n",
              "      <td>1.203271</td>\n",
              "      <td>1.265061</td>\n",
              "      <td>-0.590909</td>\n",
              "      <td>-1.085620</td>\n",
              "      <td>-1.500000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c4979523-759b-49b9-8943-520d9045151a')\"\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 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\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",
              "    [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-c4979523-759b-49b9-8943-520d9045151a 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-c4979523-759b-49b9-8943-520d9045151a');\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",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "XmQptRThbLFI"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "similar_movies.sum().sort_values(ascending=False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nq2PFOCfSMWr",
        "outputId": "ec495424-4f4f-41d4-ed96-9c11c51daa04"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "action1      3.909247\n",
              "action2      3.810282\n",
              "action3      3.807445\n",
              "romantic2   -2.154389\n",
              "romantic1   -3.306206\n",
              "romantic3   -4.376174\n",
              "dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "2sf3rVcQSnQh"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}