tailieunhanh - A personalized music recommender system using user contents, music contents and preference ratings

The user preference can be predicted e®ectively by item-based CF. The evaluation results show that our proposed music recommender system performs better than the state-of-the-arts methods in terms of Root Mean Squared Error. |