Achieving private SVD-based recommendations on inconsistently masked data

Autor: Yakut, İbrahim, Polat, H.
Přispěvatelé: Anadolu Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü
Jazyk: angličtina
Rok vydání: 2008
Popis: Gazimagusa Teknopark, TRNC;Ministry of Education and Culture, TRNC;North Cyprus Turkcell, TRNC
1st International Conference on Security of Information and Networks, SIN 2007 -- 7 May 2007 through 10 May 2007 -- Gazimagusa -- 102429
Users' 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 data
Databáze: OpenAIRE