An Improved Item-Based Collaborative Filtering Algorithm
Yiping Xu · Journal of Southwest University · 2007
Based on an analysis of the problems of multiple interests of the user and multiple contents of the item existing in the collaborative filtering recommendation system, an improved item-based collaborative filtering algorithm is proposed. This new algorithm takes synthetically into account the influence of item attributes and user ratings. Experimental results indicate that the algorithm can satisfactorily solve the problems of multiple interests of the user and multiple contents of the item and provide better recommendation results even if the user ratings are very sparse.