Research on European and American Music Recommendation Algorithm Based on Collaborative Filtering Weighted Fusion

Through the research on European and American music recommendation systems, aiming at the problem of user data sparsity, this paper proposes a weighted fusion algorithm of European and American music recommendation based on collaborative filtering. This algorithm uses three different methods of user collaborative filtering, content recommendation, and social network relationship to fuse a new user song content combination method, and improve the accuracy and diversity of recommendation results. The experimental results show that the algorithm proposed in this paper can ensure the accuracy and diversity of user scoring prediction, and at the same time, it has a great improvement in time complexity.