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...
Main Authors: | Xin, Yu, Jaakkola, Tommi S. |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | en_US |
Published: |
Neural Information Processing Systems
2015
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Online Access: | http://hdl.handle.net/1721.1/100437 https://orcid.org/0000-0002-2199-0379 |
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