When being Weak is Brave: Privacy in Recommender Systems

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dc.creatorRamakrishnan, Naren
dc.creatorKeller, Benjamin J.
dc.creatorMirza, Batul J.
dc.creatorGrama, Ananth Y.
dc.creatorKarypis, George
dc.date2001-05-18
dc.date.accessioned2026-07-07T03:17:10Z
dc.date.available2026-07-07T03:17:10Z
dc.descriptionWe 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.
dc.identifierhttps://arxiv.org/abs/cs/0105028
dc.identifierhttp://arxiv.org/abs/cs/0105028
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/30619
dc.subjectCryptography and Security
dc.subjectData Structures and Algorithms
dc.subjectH.4.2
dc.titleWhen being Weak is Brave: Privacy in Recommender Systems
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