Design of a Reputation System Based on Dynamic Coalition Formation

  • Yuan Liu
  • Jie Zhang
  • Quanyan Zhu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6984)

Abstract

Reputation systems bear some challenging problems where buyers have different subjectivity in evaluating their experience with sellers and they may not have incentives to share their experience. In this paper, we propose a novel reputation system based on dynamic coalition formation where buyers with similar subjectivity and rich experience will be awarded virtual credits for helping others find trustworthy sellers to successfully conduct business. Our theoretical analysis confirms that the coalitions formed in this way are stable.

Keywords

Reputation System Coalition Member Discount Amount Successful Transaction Credit Allocation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    Jøsang, A., Knapskog, S.J.: A metric for trusted systems. In: Proceedings of the 21st National Security Conference, pp. 16–29 (1998)Google Scholar
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    Wang, Y., Zhang, J., Vassileva, J.: Effective web service selection via communities formed by super-agents. In: Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, pp. 549–556 (2010)Google Scholar
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    Zhang, J., Cohen, R.: A personalized approach to address unfair ratings in multiagent reputation systems. In: Proceedings of the AAMAS Workshop on Trust in Agent Societies (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Yuan Liu
    • 1
  • Jie Zhang
    • 1
  • Quanyan Zhu
    • 2
  1. 1.School of Computer EngineeringNanyang Technological UniversitySingapore
  2. 2.Department of Electrical and Computer EngineeringUIUCUnited States

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