Elements of information theory
Elements of information theory
Immunizing online reputation reporting systems against unfair ratings and discriminatory behavior
Proceedings of the 2nd ACM conference on Electronic commerce
A survey of trust and reputation systems for online service provision
Decision Support Systems
Rater Credibility Assessment in Web Services Interactions
World Wide Web
RATEWeb: Reputation Assessment for Trust Establishment among Web services
The VLDB Journal — The International Journal on Very Large Data Bases
Evaluating rater credibility for reputation assessment of web services
WISE'07 Proceedings of the 8th international conference on Web information systems engineering
Trust as a service: a framework for trust management in cloud environments
WISE'11 Proceedings of the 12th international conference on Web information system engineering
Credibility-Based trust management for services in cloud environments
ICSOC'11 Proceedings of the 9th international conference on Service-Oriented Computing
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Online rating systems have been widely adopted by online trading communities to ban “bad” service providers and prompt them to provide “good” services. However, the performance of the online rating systems is easily compromised by various unfair ratings, e.g. balloting, badmouthing, and complementary unfair ratings. How to mitigate the influence of the unfair ratings remains an important issue in online rating systems. In this paper, we propose a novel entropy-based method to measure the rating quality as well as to screen the unfair ratings. Experimental results show that the proposed method is both effective and practical in alleviating the influence of different types of unfair ratings.