一种基于用户信任网络的推荐方法  

A Recommendation Method Based on User Trust Network

作　　者：周超[1] 李博[1] 

机构地区：[1]北京航空航天大学计算机学院,北京100191

出　　处：《北京邮电大学学报》2014年第4期98-102,共5页Journal of Beijing University of Posts and Telecommunications

基　　金：国家自然科学基金项目(61202424)

摘　　要：为了解决推荐中存在的数据稀疏、准确度不高等问题,提出了一种基于用户信任网络的推荐方法.首先利用基本的社会网络,融合用户的基本信任关系、角色影响力、属性相似关系、偏好相似关系构造带权重的社会网络;然后基于此网络提出关键路径发现算法以发现满足约束条件的用户信任网络;最后基于用户信任网络进行推荐.在Filmtipset数据集上对影响推荐质量的各个因素进行了对比分析,结果表明,基于用户信任网络的方法能得到更好的推荐效果.To solve the problem of low recommendation precision and data sparsity in recommendation, a recommendation method based on user trust network was proposed. A weighted user trust network was constructed as well based on basic social network, including the trust relationship, the influence of user role, the similarity of user attribute and similarity of user preferences. Based on the trust network, a key path discovery algorithm was proposed to find user trust network within constrains, which is further uti- lized for recommendation. The comparison experiments were conducted on Filmtipset dataset. A compara- tive analysis was made aimed at factors that influence the quality of recommendation. It was shown that the method based on user trust network can achieve better recommendation.

关 键 词：社会网络 社会化推荐 信任 协同过滤 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]