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Collaborative Filtering

This repository contains a collaborative filtering recommendation system developed as part of the CS476 Data Mining course.

Features

• Collaborative filtering algorithm
• User-based and Item-based filtering
• Matrix Factorization (SVD)
• Evaluation Metrics (RMSE)

Usage

1. Clone the repository:

   git clone https://github.com/ardaeerol/CollabFilter.git

2. Install the necessary dependencies:

   cd CollabFilter
   pip install -r requirements.txt

3. Customize the Filter parameters according to your specific use case.

4. Run the main script to perform collaborative filtering on your dataset:

   python main.py

Contributions

Contributions to this project are welcome. If you find any issues or have suggestions for improvements, feel free to open an issue or submit a pull request.

License

This project is licensed under the MIT License