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

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 graph? theoretic model for studying the benefit for and risk to straddlers ...

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Ramakrishnan-updated

Naren Ramakrishnan


Publication Details

Date of publication:
August 1, 2001
Journal:
IEEE Internet Computing
Page number(s):
54--62
Volume:
5
Issue Number:
6