关键词: 社会化标签, 推荐系统, 协同过滤, 标签噪声

Abstract:

In order to reduce the noise of the tag-based collaborative filtering algorithm caused by the semantic ambiguity and redundancy of social tags,the popular tags are selected by the wisdom of crowds to profile users and resources.Then a collaborative filtering algorithm is designed based on the popular tags.The experiment shows that the proposed algorithm has reduced the noise of tags and improved the precision of the traditional tag-based collaborative filtering algorithm.

Key words: social tags;recommender systems;collaborative filtering;noise of tags