| Collaboration of untrusting peers with changing interests |
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Electronic Commerce
archive
Proceedings of the 5th ACM conference on Electronic commerce
table of contents
New York, NY, USA
SESSION: Session 4
table of contents
Pages: 112 - 119
Year of Publication: 2004
ISBN:1-58113-711-0
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Downloads (6 Weeks): 7, Downloads (12 Months): 26, Citation Count: 5
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ABSTRACT
Electronic commerce engines like eBay depend heavily on reputation systems to improve customer confidence that electronic transactions will be successful, and to limit the economic damage done by disreputable peers defrauding others. In a reputation system, participant spost information about every transaction,and routinely check the posted information before taking any action to avoid other participants with a bad history.In this paper, we introduce a framework for optimizing reputation systems for objects.We study reputation systems in an asynchronous setting, and in the context of restricted access to the objects. Specifically, we study the cases where access may be restricted in time (objects arrive and depart from system) and inspace (each peer has access to only a subset of the objects).
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Yossi Azar , Amos Fiat , Anna Karlin , Frank McSherry , Jared Saia, Spectral analysis of data, Proceedings of the thirty-third annual ACM symposium on Theory of computing, p.619-626, July 2001, Hersonissos, Greece
[doi> 10.1145/380752.380859]
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A. C. Yao. Probabilistic computations: toward a unified measure of complexity. In Proc. 17th IEEE Symp. on Foundations of Computer Science (FOCS), pages 222--227, 1977.
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CITED BY 5
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Baruch Awerbuch , Yossi Azar , Zvi Lotker , Boaz Patt-Shamir , Mark R. Tuttle, Collaborate with strangers to find own preferences, Proceedings of the seventeenth annual ACM symposium on Parallelism in algorithms and architectures, July 18-20, 2005, Las Vegas, Nevada, USA
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