计算机应用与软件2016，Vol.33Issue(11)：37-40,48,5.DOI:10.3969/j.issn.1000-386x.2016.11.009
基于显式和隐式社交网络的混合推荐
MIXED RECOMMENDATION BASED ON EXPLICIT AND IMPLICIT SOCIAL NETWORKS
摘要
Abstract
Traditional social networks recommendation usually relies on friendships between users,but the friendships are not based on common interests.In light of this situation,we propose to expand users'friendships by emotion and interest expressed in users'tags,and to form the mixed recommendation based on users'friendships and common interests.First,we use direct friendship between users to construct an ex-plicit social network,and use tag data to construct an implicit social network.Then we apply the proposed SNA_SPFA algorithm to explicit and implicit social graphs respectively to get recommendation result.Finally,we mix the two recommendation results according to a certain weight. Experiments show that this method is superior to traditional collaborative filtering methods and social network recommendations.关键词
社交网络/标签/情感/混合推荐Key words
Social networks/Tag/Emotion/Mixed recommendation分类
信息技术与安全科学引用本文复制引用
王帅,兰少华..基于显式和隐式社交网络的混合推荐[J].计算机应用与软件,2016,33(11):37-40,48,5.基金项目
国家自然科学基金项目（61170035）。 （）
