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Computer Science > Cryptography and Security

Title: When being Weak is Brave: Privacy in Recommender Systems

Abstract: We explore the conflict between personalization and privacy that arises from the existence of weak ties. A weak tie is an unexpected connection that provides serendipitous recommendations. However, information about weak ties could be used in conjunction with other sources of data to uncover identities and reveal other personal information. In this article, we use a graph-theoretic model to study the benefit and risk from weak ties.
Subjects: Cryptography and Security (cs.CR); Data Structures and Algorithms (cs.DS)
ACM classes: H.4.2
Cite as: arXiv:cs/0105028v1 [cs.CR]

Submission history

From: Naren Ramakrishnan [view email]
[v1] Fri, 18 May 2001 18:47:10 GMT (61kb)