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Manipulation-resistant recommender systems through influence limits

Manipulation-resistant recommender systems through influence limits In this letter, we outline a new approach to modeling, analyzing, and combating manipulative attacks on recommender systems. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM SIGecom Exchanges Association for Computing Machinery

Manipulation-resistant recommender systems through influence limits

Resnick, Paul; Sami, Rahul
ACM SIGecom Exchanges , Volume 7 (3) – Nov 1, 2008
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Publisher
Association for Computing Machinery
Copyright
Copyright © 2008 by ACM Inc.
ISSN
1551-9031
DOI
10.1145/1486877.1486887
Publisher site
See Article on Publisher Site

Abstract

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

Journal

ACM SIGecom Exchanges – Association for Computing Machinery

Published: Nov 1, 2008

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