Abstract
Trust is a very important criterion when service customers select desired Web services from a cluster of Web services with the same function. Most existing trust models cannot effectively implement personalized service selection with regard to consumer preferences and expectations. This paper designs a novel trust management method based on peer-to-peer network and presents a customer-centric trust evaluation model for personalized service selection. The trust evaluation model firstly maintains consumer-to-consumer trust values that are calculated according to preference similarity between customers, secondly gathers ratings on services submitted by other consumers, then synthesizes customer-to-customer trust and these ratings to generate personalized consumer-to-service trust, and finally selects the desired services according to the expected trust levels presented by customers. This paper conducts some experiments to demonstrate the details of service selection. Experimental results show that this model has good applicability to implement personalized service selection. The proposed model well simulates the reality.
Highlights
Web services are a new type of Web-based application
This paper proposes a customer-centric trust evaluation model for personalized services selection based on peerto-peer trust management
Let S represent a set which contains all of Web services in a service market, and let si (i = 1, . . . , I) be an element of this set; Let C represent a set which contains all of service customers in an online community, and let cl (l = 1, . . . , L) be an element of this set; Let Trepresent a set which contains all of trustworthy services
Summary
Received 21 October 2017; Revised 11 January 2018; Accepted 26 February 2018; Published 1 April 2018. Trust is a very important criterion when service customers select desired Web services from a cluster of Web services with the same function. Most existing trust models cannot effectively implement personalized service selection with regard to consumer preferences and expectations. This paper designs a novel trust management method based on peer-to-peer network and presents a customer-centric trust evaluation model for personalized service selection. The trust evaluation model firstly maintains consumerto-consumer trust values that are calculated according to preference similarity between customers, secondly gathers ratings on services submitted by other consumers, synthesizes customer-to-customer trust and these ratings to generate personalized consumer-to-service trust, and selects the desired services according to the expected trust levels presented by customers. Experimental results show that this model has good applicability to implement personalized service selection.
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