The Center for Education and Research in Information Assurance and Security (CERIAS)

The Center for Education and Research in
Information Assurance and Security (CERIAS)
Center for Education and Research in Information Assurance and Security

Privacy Risks in Recommender Systems

Author

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

Entry type

article

Abstract

The authors explore the conflict between personalization and privacy that arises from the existence of straddlers - users with eclectic tastes who rates products across several different types or domains -- in recommender systems. While straddlers enable serendipitous recommendations, information about their existence could be used in conjunction with other data sources to uncover identities and reveal personal details. This article discusses a graph­theoretic model for studying the benefit for and risk to straddlers.

Date

2001 – 11

URL

http://csdl2.computer.org/pers ... p;DOI=10.1109/4236.968832

Journal

IEEE Intrnet Computing

Key alpha

Grama

Number

6

Pages

54-62

Volume

5

Publication Date

2001-11-00

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