Deep Autoencoders For Collaborative Filtering

Predicting the Rating a User would give a Movie — A practical Tutorial

Collaborative Filtering is a method used by recommender systems to make predictions about the interest of a specific user by collecting taste or preference information from many other users. The technique of Collaborative Filtering has the underlying assumption that if a user A has the same taste or opinion on an issue as the person B, A is more likely to have B’s opinion on a different issue.