Browsing Bildiri Koleksiyonu by Author "Yakut, İbrahim"
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Achieving private SVD-based recommendations on inconsistently masked data
Yakut, İbrahim; Polat, H. (Tafford Publishing, 2008)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 ... -
Efficient Integrity Verification for Outsourced Collaborative Filtering
Vaidya, Jaideep; Yakut, İbrahim; Basu, Anirban (IEEE, 2014)Collaborative filtering (CF) over large datasets requires significant computing power. Due to this data owning organizations often outsource the computation of CF (including some abstraction of the data itself) to a public ... -
Pcf: Projection-Based Collaborative Filtering
Yakut, İbrahim; Polat, Hüseyin; Koç, Mehmet (Scitepress, 2010)Collaborative filtering (CF) systems are effective solutions for information overload problem while contributing web personalization. Different memory-based algorithms operating over entire data set have been utilized for ... -
Privacy-Preserving Collaborative Filtering on Overlapped Ratings
Memiş, Burak; Yakut, İbrahim (IEEE Computer Soc, 2013)To promote recommendation services through prediction quality, there are some privacy-preserving collaborative filtering (PPCF) solutions enabling e-commerce parties to collaborate on partitioned data. It is almost probable ... -
Privacy-preserving Eigentaste-based collaborative filtering
Yakut, İbrahim; Polat, Hüseyin (Springer-Verlag Berlin, 2007)With the evolution of e-commerce, privacy is becoming a major concern. Many e-companies employ collaborative filtering (CF) techniques to increase their sales by providing truthful recommendations to customers. Many ...