关键词: 信任, 推荐系统, 局部网络结构, 兴趣, 个性化推荐

Abstract: The data sparseness is due to the nature of traditional collaborative filtering and trust-based recommender systems can effectively deal with the sparse data without losing accuracy. It is appropriate to use different methods for different users to give more personalized recommendation. The vertex characteristic in microcosmic stratums was studied, and the formal definition of interest was proposed. It was used to demonstrate the impact of local structures of the recommended user on the results of recommender systems. In the end, several results were given to illustrate the diversity of the effects of recommender systems on users of different types.

Key words: trust, recommender system, local network structure, interest, personalized recommendation