Manipulation-resistant recommender systems through influence limits

  • Authors:
  • Paul Resnick;Rahul Sami

  • Affiliations:
  • School of Information, University of Michigan;School of Information, University of Michigan

  • Venue:
  • ACM SIGecom Exchanges
  • Year:
  • 2008

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Abstract

In this letter, we outline a new approach to modeling, analyzing, and combating manipulative attacks on recommender systems.