Improved Collaborative Filtering Algorithm in the Research and Application of Personalized Movie Recommendations

With the development of the Internet and e-commerce, recommendation system has been widely used. In this paper, the electronic commerce recommendation system, has a further study and focuses on the collaborative filtering algorithm in the application of personalized movie recommendation system. According to the characteristics of movie recommendation system itself and traditional collaborative filtering algorithm of sparse user ratings matrix,this paper is proposed based on a hybrid user-based and item-based collaborative filtering algorithms, and applied to the MovieLens dataset, achieved good effect.