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HYRIWYG: leveraging personalization to elicit honest recommendations

Published:17 May 2004Publication History

ABSTRACT

This paper presents HYRIWYG (How You Rate Influences What You Get), a reputation system applicable to Internet Recommendation Systems (RS). The novelty lies in the incentive mechanism that encourages evaluators to volunteer their true opinion. Honesty is encouraged because rewards are indexed by the quality of the RS's suggestions.

References

  1. Schafer, J., Konstan, J. and Riedl, J. 2001, Electronic Commerce Recommender Applications. Journal of Data Mining and Knowledge Discovery 5, 1-2, 115--152. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Resnick P., Iacovou N., Suchak M., Bergstrom, P., and RIEDL J. 1994 Grouplens: An open architecture for collaborative filtering of netnews, In Proceedings of ACM 1994 Conference on Computer Supported Cooperative Work, 175--18. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. www.netflix.com Last accessed in 03/01/2004.Google ScholarGoogle Scholar

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    • Published in

      cover image ACM Conferences
      EC '04: Proceedings of the 5th ACM conference on Electronic commerce
      May 2004
      278 pages
      ISBN:1581137710
      DOI:10.1145/988772

      Copyright © 2004 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 17 May 2004

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