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Enhancing Social Matrix Factorization with Privacy
KTH, School of Information and Communication Technology (ICT), Software and Computer systems, SCS.
KTH, School of Information and Communication Technology (ICT), Software and Computer systems, SCS.
KTH, School of Information and Communication Technology (ICT), Software and Computer systems, SCS.
KTH, School of Information and Communication Technology (ICT), Software and Computer systems, SCS.ORCID iD: 0000-0002-4722-0823
2013 (English)In: Proceedings of the ACM Symposium on Applied Computing, 2013, 277-278 p.Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

Within the course of this manuscript we present a privacy-preserving collaborative filtering recommender system whichaims at alleviating the concern with privacy of user pro-files within the context of sparse social trust data. Whileproblem of sparsity in social trust is often addressed by tak-ing similarity driven trust measures through a probabilisticmatrix factorization technique, we address the issue of pri-vacy by proposing a dynamic privacy inference model. Theprivacy inference model exploits the underlying inter-entitytrust information in order to build a personalized privacyperspective for each individual within the social network.This is followed by our evaluation of the proposed solutionby adopting an off-the-shelf collaborative filtering recom-mender library, in order to generate predictions using thispersonalized view.

Place, publisher, year, edition, pages
2013. 277-278 p.
Keyword [en]
Matrix factorization, Privacy, Privacy inference, Recommender systems, Social network, Trust
National Category
Information Systems
Identifiers
URN: urn:nbn:se:kth:diva-118475DOI: 10.1145/2480362.2480421Scopus ID: 2-s2.0-84877981601ISBN: 978-145031656-9 (print)OAI: oai:DiVA.org:kth-118475DiVA: diva2:606436
Conference
28th Annual ACM Symposium on Applied Computing, SAC 2013; Coimbra, Portugal, 18 March through 22 March 2013
Note

QC 20130903

Available from: 2013-02-19 Created: 2013-02-19 Last updated: 2014-01-24Bibliographically approved

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Matskin, Mihhail

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Mokarizadeh, ShahabDokoohaki, NimaBunea, RamonaMatskin, Mihhail
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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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