Collaborative Filtering RecommendationAlgorithm Based on Trust Model
Xia Xiao-wu · Jisuanji gongcheng · 2011
This paper proposes a collaborative filtering recommendation algorithm based on trust mechanism.Direct trust is based on common rating data and indirect trust is based on the predict data.By considering the social network between Person’s trust assessment method,the similarity between the users is more accurate,so that better neighbors for a target user and the better recommendation result can be gained.Experimental result indicates that based on the trust model’s recommendation system,can consistently achieve better prediction accuracy and improves system’s recommendation quality effectively.