广东工业大学学报2017，Vol.34Issue(3)：43-48,6.DOI:10.12052/gdutxb.170020
一种融合隐式信任关系的推荐算法
Research on Implicit Trust Relationship Aware Recommendation Algorithm
摘要
Abstract
Collaborative filtering algorithm suffers from data sparsity and cold start, and explicit trust is more difficult to obtain and sparse. In order to solve these problems and improve the accuracy of recommendation systems, a matrix factorization recommendation algorithm is proposed integrating implicit trust information of users. This algorithm calculates implicit trust relationship between users by using Pearson correlation coefficient and factor of trust, and then integrates implicit trust information into a matrix factorization model to predict the ratings. Experimental results show that the algorithm has better recommendation accuracy.关键词
隐式信任/矩阵分解/推荐算法Key words
implicit trust/matrix factorization/recommendation algorithm分类
信息技术与安全科学引用本文复制引用
胡惠成,陈平华..一种融合隐式信任关系的推荐算法[J].广东工业大学学报,2017,34(3):43-48,6.基金项目
广东省科技计划项目(2016B030308001,2016B030306002) （2016B030308001,2016B030306002）
广州市科技计划项目(201604010099) （201604010099）
