Bart P. Knijnenburg
Shlomo Berkovsky
ABSTRACT
It is important for recommender system designers and service providers to learn about ways to generate accurate recommendations while at the same time respecting the privacy of their users. In this tutorial, we analyze common privacy risks imposed by recommender systems, survey privacy-enhanced recommendation techniques, and discuss implications for users.
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Index Terms
- Privacy for Recommender Systems: Tutorial Abstract
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