Density-based measure of reputation of sellers in online auctions

• Autorzy: Morzy M.
• Konferencja: ADBIS Workshop on Data Mining and Knowledge Discovery (ADMKD'2005) / sympozjum [1st; September 15-16, 2005; Tallinn, Estonia]
• Języki publikacji: EN

Abstrakty

EN

Online auctions are gaining tremendous popularity in recent years. Although providing unprecedent opportunities, online auction sites become an attractive environment for fraud. The expansion of the share of online auctions in the world trade causes exponential growth of theft and deception associated with this medium. Participants of online auctions agree that trustworthy reputation systems are an important factor in fighting dishonest and malicious users. Unfortunately, popular auction sites use only very simple reputation estimation schemes that utilize feedbacks issued reciprocally by users after terminated auctions. Such systems can be easily deceived and do not offer sufficient protection against organized fraud. In this paper we present a novel density-based reputation measure. The new reputation measure uses the topology of seller-buyer connections to derive knowledge about trustworthy sellers. We mine the data on past transactions to discover clusters of connected sellers and for each seller we measure the density of the seller's neighborhood. We use these clusters both for scoring the reputation of individual sellers, and to assist buyers in informed decision making by generating automatic recommendations. We perform many experiments on the body of real-world data acquired from a leading Polish provider of online auctions to examine the new measure in detail.

Słowa kluczowe

EN

online auctions; reputation; credibility; link mining

• Wydawca: Wydawnictwo Politechniki Poznańskiej
• Czasopismo: Foundations of Computing and Decision Sciences
• Rocznik: 2006
• Tom: Vol. 31, No. 1
• Strony: 75--86
• Opis fizyczny: Bibliogr. 15 poz.

Twórcy

autor

Morzy M.

• Institute of Computing Science, Poznań University of Technology, Piotrowo 2, 60-965 Poznań, Poland,

Bibliografia

• [1] K. Aberer and Z. Despotovic. Managing trust in a peer-2-peer information system. In CIKM '01: Proceedings of the tenth international conference on Information and knowledge management, pages 310-317, New York. NY. USA, 2001. ACM Press.
• [2] S. Ba, A. B. Whinston, and H. Zhang. Building trust in online auction markets through an economic incentive mechanism. Decision Support Systems, (35), 2003.
• [3] C. Beam and A. Segev. Auctions on the internet: a field study. Technical report, University of California at Berkeley. 1998.
• [4] M. Cheii and J. P. Singh. Computing and using reputations for internet ratings. In EC '01: Proceedings of the 3rd ACM conference on Electronic Commerce, pages 154-162, New York, NY, USA, 2001. ACM Press.
• [5] R. Guha. R. Kumar, P. Raghavan, and A. Tomkins. Propagation of trust and distrust. In WWW 'O4: Proceedings of the 13th inter-national conference on World Wide Web. pages 403-412, New York, NY, USA, 2004. ACM Press.
• [6] D. Houser and J. Wooders. Reputation in auctions: Theory, and evidence from ebay. Technical report, University of Arizona. 2001.
• [7] R. A. Malaga. Web-based reputation management systems: Problems and suggested solutions. Electronic Commerce Research, 4(1), 2001.
• [8] M. I. Melnik and J. Aim. Does a seller's ecommerce reputation matter? evidence from ebay auctions. The Journal of Industrial Economics, L(3), September 2002.
• [9] M. Morzy. New algorithms for mining the reputation of participants of online auctions. In WINE 2005, 1st Workshop on Internet and Network Economics. 15-17 December 2005, Hong Kong. Springer Verlag. 2005.
• [10] M. Morzy. M. Wojciechowski, and M. Zakrzewicz. Intelligent reputation assessment for participants of web-based customer-to-customer auctions. In AWIC 2005, 3rd International Atlantic Web Intelligence Conference. June 6-9 2005, Lodz. Poland, pages 320-326. Springer Verlag, 2005.
• [11] P. Resnick and R. Zeckhauser. Trust Among Strangers in Internet Transactions: Empirical Analysis of eBay's Reputation System, volume 11 of Advances in Applied Microeconomics. Elsevier Science. 2002.
• [12] P. Resnick. R. Zeckhauser. E. Friedman, and K. Kuwabara. Reputation systems. Communications of the ACM, 43(12), 2000.
• [13] P. Resnick. R. Zeckhauser. J. Swanson. and K. Lockwood. The value of reputation on ebay: a controlled experiment. Technical report, 2004.
• [14] J, M. Snyder. Online auction fraud: Are the auction houses doing all they should or could to stop online fraud? Federal Communications Law Journal, 52(2), 2000.
• [15] L. Xiong and L. Liu. A reputation-based trust model for peer-to-peer ecommerce communities [extended abstract!. In EC '03: Proceedings of the 4th ACM conference on Electronic commerce, pages 228-229, New York. NY, USA. 2003. ACM Press.