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Open AccessArticle

A Novel Approach for Web Service Recommendation Based on Advanced Trust Relationships

1, 2,* and 2
School of Computer, Hubei University of Education, No. 129, Gaoxin Second Road, Wuhan 430205, China
School of Information and Communication Engineering, Hubei University of Economics, No. 8, Yangqiaohu Ave., Wuhan 430205, China
Author to whom correspondence should be addressed.
Information 2019, 10(7), 233;
Received: 14 May 2019 / Revised: 18 June 2019 / Accepted: 24 June 2019 / Published: 6 July 2019
(This article belongs to the Special Issue Computational Social Science)
PDF [2100 KB, uploaded 6 July 2019]
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Service recommendation is one of the important means of service selection. Aiming at the problems of ignoring the influence of typical data sources such as service information and interaction logs on the similarity calculation of user preferences and insufficient consideration of dynamic trust relationship in traditional trust-based Web service recommendation methods, a novel approach for Web service recommendation based on advanced trust relationships is presented. After considering the influence of indirect trust paths, the improved calculation about indirect trust degree is proposed. By quantifying the popularity of service, the method of calculating user preference similarity is investigated. Furthermore, the dynamic adjustment mechanism of trust is designed by differentiating the effect of each service recommendation. Integrating these efforts, a service recommendation mechanism is introduced, in which a new service recommendation algorithm is described. Experimental results show that, compared with existing methods, the proposed approach not only has higher accuracy of service recommendation, but also can resist attacks from malicious users more effectively. View Full-Text
Keywords: Web service; recommendation; trust relationship; formalization; service popularity Web service; recommendation; trust relationship; formalization; service popularity

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Duan, L.; Tian, H.; Liu, K. A Novel Approach for Web Service Recommendation Based on Advanced Trust Relationships. Information 2019, 10, 233.

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