Privacy risks in recommender systems

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

doi:10.1109/4236.968832

Privacy risks in recommender systems

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

Computer Science and Engineering

Research output: Contribution to journal › Article › peer-review

138 Scopus citations

Abstract

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 language	English (US)
Pages (from-to)	54-62
Number of pages	9
Journal	IEEE Internet Computing
Volume	5
Issue number	6
DOIs	https://doi.org/10.1109/4236.968832
State	Published - Nov 2001

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title = "Privacy risks in recommender systems",

abstract = "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.",

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Privacy risks in recommender systems

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