A Novel Recommendation Method Based on Users Interest and Heterogeneous Information
Its a consensus that trust relationship is significant to improve the recommendation efficiently.But in most cases,trust relationship information is so sparse and difficult to use.Actually,the trust relationship is the response of interest among users,that is,it is an effective method to find the appropriate trust relationships by mining usersinterests accurately.There are so many factors that can affect usersinterest as well,such as age,occupation and so on.Based on these factors we can construct a heterogeneous information network,this paper deeply mine more accurate trust relationship through the interest and similarity from the heterogeneous information network among users,and merges the trust relationship to the matrix decomposition techniques.Moreover,we innovative conduct our experiment to test the recommendation algorithm based on trust,which has not been studied so far in MovieLens100k dataset.Experimental results demonstrate that our method outperforms other counterparts both in terms of accuracy.
Trust relationship Heterogeneous information network Recommender system
Jiatong Wang Zhenqian Fei Shuyu Qiao Wei Sun Xiaoxin Sun BangZuo Zhang
School of Computer Science and Information Technology,Northeast Normal University,Changchun 130117,China
国际会议
International Asia-Pacific Web Conference(第18届国际亚太互联网大会)
苏州
英文
90-101
2016-09-23（万方平台首次上网日期，不代表论文的发表时间）