Achieving private SVD-based recommendations on inconsistently masked data
Abstract
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
Source
Security of Information and Networks - Proceedings of the 1st International Conference on Security of Information and Networks, SIN 2007Collections
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