Yazar "Polat, Hüseyin" için WoS İndeksli Yayınlar Koleksiyonu listeleme
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A scalable privacy-preserving recommendation scheme via bisecting k-means clustering
Bilge, Alper; Polat, Hüseyin (Elsevier Sci LTD, 2013)Privacy-preserving collaborative filtering is an emerging web-adaptation tool to cope with information overload problem without jeopardizing individuals' privacy. However, collaborative filtering with privacy schemes ... -
Shilling Attacks Against Memory-Based Privacy-Preserving Recommendation Algorithms
Güneş, İhsan; Bilge, Alper; Polat, Hüseyin (Ksii-Kor Soc Internet Information, 2013)Privacy-preserving collaborative filtering schemes are becoming increasingly popular because they handle the information overload problem without jeopardizing privacy. However, they may be susceptible to shilling or profile ... -
Shilling attacks against recommender systems: a comprehensive survey
Güneş, İhsan; Kaleli, Cihan; Bilge, Alper; Polat, Hüseyin (Springer, 2014)Online vendors employ collaborative filtering algorithms to provide recommendations to their customers so that they can increase their sales and profits. Although recommendation schemes are successful in e-commerce sites, ... -
Similar or Dissimilar Users? Or Both?
Kaleli, Cihan; Polat, Hüseyin (IEEE Computer Soc, 2009)E-commerce sites utilize collaborative filtering (CF) techniques to offer recommendations to their customers. To recruit new customers and keep the current ones, it is imperative for online vendors to provide accurate ... -
SOM-based recommendations with privacy on multi-party vertically distributed data
Kaleli, Cihan; Polat, Hüseyin (Palgrave Macmillan LTD, 2012)Data collected for providing recommendations can be partitioned among different parties. Offering distributed data-based predictions is popular due to mutual advantages. It is almost impossible to present trustworthy ... -
A Survey of Privacy-Preserving Collaborative Filtering Schemes
Bilge, Alper; Kaleli, Cihan; Yakut, İbrahim; Güneş, İhsan; Polat, Hüseyin (World Scientific Publ Co Pte LTD, 2013)With increasing need for preserving confidential data while providing recommendations, privacy-preserving collaborative filtering has been receiving increasing attention. To make data owners feel more comfortable while ... -
A survey: deriving private information from perturbed data
Okkalıoğlu, Burcu Demirelli; Okkalıoğlu, Murat; Koç, Mehmet; Polat, Hüseyin (Springer, 2015)Privacy-preserving data mining has attracted the attention of a large number of researchers. Many data perturbation methods have been proposed to ensure individual privacy. Such methods seem to be successful in providing ...