Recommender-systems

Recommender systems in the movielens dataset implemented in Python. I implemented 4 recomendation approaches:

• Non personalized

• Content based, a Naive Bayes spam filter is also implemented.

• Collaborative filtering, item-item and user-user.

• Collaborative filtering using the surprise library.