A Novel Hybrid Collaborative Filtering Algorithm Research for Music Recommendation
With convenient access to thousands of music pieces on the Internet, it is important to provide an effective recommendation system which could select possible preferable songs for users. In this paper, a novel hybrid algorithm is proposed for music recommendation. By importing a weighting factor concretely, itembased collaborative filtering algorithm is combined with user based collaborative filtering algorithm to construct this new algorithm. The Mean Absolute Error (MAE) is employed to examine the performance of recommendation algorithms. It is clearly revealed that this new method could significantly improve the effectiveness of music recommendation system. Keywords recommendation system; music; hybrid; collaborative filtering; MAE