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RecNextEval Studio

A web-based studio for evaluating and analyzing streaming recommendation algorithms.

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Installation

  1. Clone the recnexteval repository:

    git clone https://github.com/HiIAmTzeKean/recnexteval.git
  2. Clone the recnexteval-studio repository in the same directory:

    git clone https://github.com/HiIAmTzeKean/recnexteval-studio.git
  3. Navigate to the recnexteval-studio directory:

    cd recnexteval-studio
  4. Ensure you have a .env file in the root directory with necessary environment variables (copy from .env.example if available, or create one based on your setup).

Running the Application

To start the entire server stack (PostgreSQL database, backend API, and frontend), run:

make up

This will:

  • Start a PostgreSQL database on port 5432
  • Start the backend API server on port 9000
  • Start the frontend development server on port 8000

You can then access the application at http://localhost:8000.

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GUI for RecNextEval Py Package

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