Research on Trust based Collaborative Filtering Algorithm for User's Multiple Interests
Collaborative filtering technique is one of the most effective information filtering techniques in E-commerce recommender systems to date.Recent researches try to incorporate trust model into recommendation process to improve the accuracy and resist shilling attack.However,because of user's multiple interests,items belonging to different topics need different trustworthy users to make recommendation.Traditional profile level trust model is not suitable.Based on this idea,this paper proposes a topic-level trust model and topic-level trust based Collaborative filtering algorithm.A series of experiments show that the algorithm achieves highly on the accuracy and robustness.