Movie recommender

Built using

How to run

1. Download the movies dataset or the ml-100k dataset and extract it. The movies dataset is a bit bigger and slower, but contains more movies and ratings and newer movies.
2. Setup, install and activate virtual environment

   python3 -m venv .venv
   pip install -r requirements.txt
   source .venv/bin/activate # Linux only, Windows is different

3. Run the data cleanse script

   python movie_rec_api/data-cleanse.py /path/to/the-extracted-dataset out

4. Start the server

   uvicorn movie_rec_api.main:app