This repository contains of three methodology for implementing the recommendation system
At the BOOK folder you could find the Recommendation system which implemented for recommending the books based on the ratings done by users
At Movie_Recommendation_al folder you could find the A recommendation algorithm implemented with Biased Matrix Factorization method using tensorflow and tested over 1 million Movielens dataset with state-of-the-art validation RMSE around ~ 0.83
At the body of the repo you could find the simple movie recommendation that works based on the user ratings for each movie