Kurum Yazarı "Bilge, Alper" Makale Koleksiyonu İçin Listeleme
-
A comparison of clustering-based privacy-preserving collaborative filtering schemes
Bilge, Alper; Polat, Hüseyin (Elsevier, 2013)Privacy-preserving collaborative filtering (PPCF) methods designate extremely beneficial filtering skills without deeply jeopardizing privacy. However, they mostly suffer from scalability, sparsity, and accuracy problems. ... -
An improved privacy-preserving DWT-based collaborative filtering scheme
Bilge, Alper; Polat, Hüseyin (Pergamon-Elsevier Science LTD, 2012)Collaborative filtering (CF) is one of the most efficient techniques to produce personalized recommendations and to deal with the information overload of modern times. Although CF techniques have immensely useful filtering ... -
Improving Accuracy of Multi-Criteria Collaborative Filtering By Normalizing User Ratings
Bilge, Alper; Yargıç, Alper (2017)Multi-criteria collaborative filtering schemes allow modeling user preferences in a more detailed manner by collecting ratings on various aspects of a product or service. Although preferences are expressed by numerical ... -
Maskelenmiş Veriler için Kümeleme-Tabanlı Şilin Atak Tespit Yöntemi
Bilge, Alper; Batmaz, Zeynep; Polat, Hüseyin (2016)İnternet'in yaygınlaşması ile beraber hem ortak filtreleme hem de mahremiyetin korunması artan ilgi görmektedir. Mahremiyeti koruyarak doğru önerileri hızlı bir şekilde kullanıcıya sunmak üzere mahremiyettabanlı ortak ... -
Robustness analysis of multi-criteria collaborative filtering algorithms against shilling attacks
Türk, Ahmet Murat; Bilge, Alper (Pergamon-Elsevier Science LTD, 2019)Collaborative filtering is an emerging recommender system technique that aims guiding users based on other customers preferences with behavioral similarities. Such correspondences are located based on preference history ... -
Robustness analysis of privacy-preserving model-based recommendation schemes
Bilge, Alper; Güneş, İhsan; Polat, Hüseyin (Pergamon-Elsevier Science LTD, 2014)Privacy-preserving model-based recommendation methods are preferable over privacy-preserving memory-based schemes due to their online efficiency. Model-based prediction algorithms without privacy concerns have been ... -
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, ... -
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 ...