计算机工程与应用2019，Vol.55Issue(4)：84-90,7.DOI:10.3778/j.issn.1002-8331.1711-0373
基于领域敏感兴趣圈的社会化推荐算法
Social Recommendation Algorithm Based on Domain-Sensitive Interest Circle
摘要
Abstract
Most of the trust-aware recommendation methods think that all friends with trust relationship have an impact on user ratings, which ignores the diversity of trust and the change of user interest with the field. This paper proposes a social recommendation algorithm based on domain-sensitive interest circle DSC-PMF. The DSC-PMF algorithm uses the Domain-Sensitive Interest Circle(DSC)model and a Probabilistic Matrix Factorization(PMF)strategy to recommend items to users in a specific domain. The DSC model only considers the influence of friends with similar interests, and mea-sures the influence of different friends by decomposing trust value. It also defines"the user’s domain sensitivity"to assess different willingness to be influenced. According to the experimental results on the Yelp datasets, the proposed algorithm not only reduces MAE and RMSE, but also improves the recommendation accuracy of the system.关键词
领域敏感度/信任关系/概率矩阵分解/社会化推荐Key words
domain sensitivity/ trust relationship/ probabilistic matrix factorization/ social recommendation分类
信息技术与安全科学引用本文复制引用
曹霞,李平,张路遥..基于领域敏感兴趣圈的社会化推荐算法[J].计算机工程与应用,2019,55(4):84-90,7.基金项目
湖南省教育厅资助重点项目(No.14A004). （No.14A004）
