A Movie Recommendation Algorithm Combining Collaborative Filtering and Content Information

Recommender Systems attempt to predict new items considering interest for a user. Most recommender systems use Collaborative Filtering or Content-based methods. While both methods have their own advantages, individually they fail to provide good recommendations in many situations. Incorporating components from both methods, a hybrid recommender system can overcome these shortcomings. In this paper, we present an effective framework for combining content-based filtering and collaborative filtering. The proposed algorithm performs better than a pure content-based predictor or pure collaborative filter.