关键词: 协同过滤, 推荐系统, 冷启动, 信任机制, 用户聚类

Abstract: In the recommendation system, user cold start problem is the problems existing in the traditional collaborative filtering recommendation system. Aiming at this problem, on the basis of collaborative filtering algorithm, a new hybrid collaborative filtering algorithm is proposed to alleviate cold start, when calculating the user similarity is introduced into the algorithm users trust mechanism and demographic information, comprehensive considering attribute similarity and trust of users. At the same time, this algorithm improves the neighbor selection of users. Experiments show that the proposed algorithm can effectively alleviate the cold start problem of traditional collaborative filtering recommendation system.

Key words: collaborative filtering, recommendation system, cold start, trust mechanism, user cluster