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Scientific Programming
Volume 2017 (2017), Article ID 4106134, 8 pages
https://doi.org/10.1155/2017/4106134
Research Article

Personalized Service Recommendation Based on Trust Relationship

1School of Information Engineering, Hubei University of Economics, No. 8, Yangqiaohu Ave., Jiangxia Dist., Wuhan 430205, China
2Graduate School of Information, Production and Systems, Waseda University, Hibikino 2-7, Wakamatsu-ku, Kitakyushu 808-0135, Japan

Correspondence should be addressed to Hao Tian

Received 19 November 2016; Revised 4 February 2017; Accepted 14 February 2017; Published 7 March 2017

Academic Editor: Hiromitsu Shimakawa

Copyright © 2017 Hao Tian and Peifeng Liang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

With the rapid development and extensive application of Web services, various approaches for Web service recommendation have been proposed in the past. However, the traditional methods only utilize the information of the user-service rating matrix but ignore the trust relations between users, so their recommendation precision is often unsatisfactory, and, furthermore, most of these methods lack the ability to distinguish the credibility of recommendation. To address the problems, we proposed a personalized service recommendation based on trust relationship. In particular, our approach takes into account user experience, interest background, recommendation effect, and evaluation tendency in the formalization of trust relationship, and moreover it can filter out useless or suspected services by exploiting trust relationships between users. To verify the proposed approach, we conducted experiments by using a real-world Web services set. The experimental results show that our proposed approach leads to a substantial increase in the precision and the credibility of service recommendations.