期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2016
卷号：9
期号：6
页码：263-272
DOI：10.14257/ijhit.2016.9.6.23
出版社：SERSC
摘要：Considering the probability matrix decomposition model, direct trust and indirect trust, trust propagation, as well as similarity between users and other factors, this paper proposes a new recommendation algorithm which fully taps the trust mechanism, and takes into account the similarity between users. Firstly, a new trust matrix is obtained based on the trust value of social network. Then all the trust relationships are integrated into the recommendation algorithm through the RSTE model. Finally, the prediction score is produced and the recommended list is given. Experimental results on public data sets show that this recommendation algorithm has obvious feasibility and superiority
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