Skip to content

Latest commit

 

History

History
10 lines (6 loc) · 325 Bytes

README.md

File metadata and controls

10 lines (6 loc) · 325 Bytes

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.