The code uses the lightfm recommender system library to train a hybrid content-based + collaborative algorithm that uses the WARP loss function on the movielens dataset. The movielens dataset contains movies and ratings from over 1700 users. Once trained, our script prints out recommended movies for whatever users from the dataset that we choose to terminal.
##Dependencies
numpy (http://www.numpy.org/)
scipy (https://www.scipy.org/)
lightfm (https://github.com/lyst/lightfm)
Install missing dependencies using pip
##Usage
Once you have your dependencies installed via pip, run the script in terminal via python movie_recommend.py