A High-Reliability Multi-Faceted Reputation Evaluation Mechanism for Online Services

Document Type

Article

Publication Date

11-1-2019

Abstract

In today's society, there are plenty of services available, and customers are facing bigger challenge in choosing them than ever before. Therefore, it is important to build a reliable reputation mechanism for selecting a credible service. To address the challenges of reputation evaluation, including the diverse and dynamic natures of services, incompleteness of user feedback, and intricacy of malicious ratings, a High-reliability Multi-faceted Reputation evaluation mechanism for online services (HMRep) is proposed. First, HMRep starts with addressing the incomplete feedback and estimates missing ratings based on both the service quality and a user's rating behavior. Second, HMRep identifies and removes malicious collusive raters and irresponsible raters to improve the accuracy of reputation calculation. Further, the reputation calculation is based on the user credibility and incorporates historical information to reflect the change of the services. Finally, we provide a multi-faceted evaluation method to satisfy some specific needs of customers who are only concerned about a subset of a services features. Experimental results verify the design of HMRep, and reveal HMRep can effectively defend against malicious ratings, and accurately calculate the reputation values of services. HMRep can be applied in lots of sectors for different kinds of services, especially those complex ones.

Identifier

85076702440 (Scopus)

Publication Title

IEEE Transactions on Services Computing

External Full Text Location

https://doi.org/10.1109/TSC.2016.2638812

e-ISSN

19391374

First Page

836

Last Page

850

Issue

6

Volume

12

Grant

2012CB315804

Fund Ref

National Natural Science Foundation of China

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