Movie recommender built on top of the MovieLens dataset, using flask/jinja2 as backend, with tensorflow for matrix reduction when determining similary between users and items. Uses sqlite3 for handling user registration and persistent storage of user ratings and movie data.
python3 -m pip install -r requirements.txt
Inside the base recommender/
directory:
FLASK_APP=theapp flask init-db
FLASK_ENV=development FLASK_APP=theapp flask run
navigate to the localhost address.