Controlling privacy in recommender systems

Recommender systems involve an inherent trade-off between accuracy of recommendations and the extent to which users are willing to release information about their preferences. In this paper, we explore a two-tiered notion of privacy where there is a small set of public'' users who are will...

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Bibliographic Details
Main Authors: Xin, Yu (Contributor), Jaakkola, Tommi S. (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Neural Information Processing Systems, 2015-12-18T16:24:47Z.
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