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Collaboration of untrusting peers with changing interests
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Source 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
Authors
Baruch Awerbuch  Johns Hopkins University, Baltimore, MD
Boaz Patt-Shamir  Hewlett Packard Labs., Cambridge, MA
David Peleg  The Weizmann Institute of Science, Israel
Mark Tuttle  Hewlett Packard Labs., Cambridge, MA
Sponsors
ACM: Association for Computing Machinery
SIGEcom: ACM Special Interest Group on Electronic Commerce
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 1,   Downloads (12 Months): 24,   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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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.


Collaborative Colleagues:
Baruch Awerbuch: colleagues
Boaz Patt-Shamir: colleagues
David Peleg: colleagues
Mark Tuttle: colleagues

Peer to Peer - Readers of this Article have also read: