Privacy risks in recommender systems

Naren Ramakrishnan, Benjamin J. Keller, Batul J. Mirza, Ananth Y. Grama, George Karypis

Research output: Contribution to journalArticlepeer-review

139 Scopus citations


Recommender system users who rate items across disjoint domains face a privacy risk analogous to the one that occurs with statistical database queries. It combines one user's ratings of products or services with ratings of products or services with ratings from other users to answer queries with predictions and suggestions. Hence, a graph-theoretic model is used to study the benefit from and risk to straddlers.

Original languageEnglish (US)
Pages (from-to)54-62
Number of pages9
JournalIEEE Internet Computing
Issue number6
StatePublished - Nov 2001


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