Used a book rating dataset to create a collaborative recommender system using WARP, BPR and logistic loss functions from LightFM. data has been seperated into train and test set for testing purposes.
Data Used: Institut für Informatik, Universität Freiburg - Book Ratings Data Sets http://www.informatik.uni-freiburg.de/~cziegler/BX/
Challenge (demo.py): ||Source||, Siraj Naval https://github.com/llSourcell/recommender_system_challenge