Akademik Veri Yönetim Sistemi
International Journal of Design and Nature and Ecodynamics, cilt.11, sa.3, ss.284-294, 2016 (Scopus)
© 2016 WIT Press.Weighted Slope One predictor is proposed as a model-based collaborative filtering algorithm based on user ratings. The predictor is able to efficiently provide accurate predictions. The scheme utilizes user's true ratings. In this paper, we propose to utilize normalized user ratings like z-scores for the weighted Slope One predictor. Also, in order to protect privacy, we propose a privacy-preserving weighted Slope One predictor based on z-scores using randomization. Moreover, we utilize masked deviations to show how it affects accuracy of the proposed scheme. We perform various real data-based experiments to evaluate the overall performance of the proposed method. Empirical outcomes show that the algorithm is able to provide accurate predictions.