Yazar "Bilge, Alper" için listeleme
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A Robust Multi-Criteria Collaborative Filtering Algorithm
Türk, Ahmet Murat; Bilge, Alper (IEEE, 2018)Collaborative filtering recommender systems assist individuals to discover relevant products or services that they might be interested in a large set of alternatives by analyzing the collected preferences. Recent research ... -
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 ...