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dc.contributor.authorYakut, İbrahim
dc.contributor.authorPolat, H.
dc.date.accessioned2019-10-21T20:10:57Z
dc.date.available2019-10-21T20:10:57Z
dc.date.issued2008
dc.identifier.isbn9781425141097
dc.identifier.urihttps://hdl.handle.net/11421/19987
dc.descriptionGazimagusa Teknopark, TRNC;Ministry of Education and Culture, TRNC;North Cyprus Turkcell, TRNCen_US
dc.description1st International Conference on Security of Information and Networks, SIN 2007 -- 7 May 2007 through 10 May 2007 -- Gazimagusa -- 102429en_US
dc.description.abstractUsers' concerns about private data might be different and they want various privacy levels. Therefore, they might decide to mask their data differently to achieve required privacy levels. Providing collaborative filtering (CF) services on inconsistently masked data is challenging. In this paper, we discuss how to achieve singular value decomposition (SVD)-based CF services on inconsistently masked dataen_US
dc.language.isoengen_US
dc.publisherTafford Publishingen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleAchieving private SVD-based recommendations on inconsistently masked dataen_US
dc.typeconferenceObjecten_US
dc.relation.journalSecurity of Information and Networks - Proceedings of the 1st International Conference on Security of Information and Networks, SIN 2007en_US
dc.contributor.departmentAnadolu Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.identifier.startpage172en_US
dc.identifier.endpage176en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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