Yazar "Kaleli, Cihan" için Bildiri Koleksiyonu listeleme
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Achieving Optimal Privacy in Trust-Aware Social Recommender Systems
Dokoohaki, Nima; Kaleli, Cihan; Polat, Hüseyin; Matskin, Mihhail (Springer-Verlag Berlin, 2010)Collaborative filtering (CF) recommenders are subject to numerous shortcomings such as centralized processing, vulnerability to shilling attacks, and most important of all privacy. To overcome these obstacles, researchers ... -
Methods of Privacy Preserving in Collaborative Filtering
Batmaz, Zeynep; Kaleli, Cihan (IEEE, 2017)Privacy considerations of individuals becomes more and more popular issue in recommender systems due to the increasing need for protecting confidential data. Even though users of recommender systems enjoy with personalized ... -
A multi-criteria item-based collaborative filtering framework
Bilge, Alper; Kaleli, Cihan (IEEE Computer Society, 2014)Collaborative filtering methods are utilized to provide personalized recommendations for users in order to alleviate information overload problem in different domains. Traditional collaborative filtering methods operate ... -
A Multi-Criteria Item-based Collaborative Filtering Framework
Bilge, Alper; Kaleli, Cihan (IEEE, 2014)Collaborative filtering methods are utilized to provide personalized recommendations for users in order to alleviate information overload problem in different domains. Traditional collaborative filtering methods operate ... -
On Binary Similarity Measures for Privacy-Preserving Top-N Recommendations
Bilge, Alper; Kaleli, Cihan; Polat, Hüseyin (Scitepress, 2010)Collaborative filtering (CF) algorithms fundamentally depend on similarities between users and/or items to predict individual preferences. There are various binary similarity measures like Kulzinslcy, Sokal-Michener, Yule, ... -
Privacy-Preserving Concordance-based Recommendations on Vertically Distributed Data
Kaleli, Cihan (IEEE, 2012)Recommender systems are attractive components of e-commerce. Customers apply such systems to get help for choosing the appropriate product to purchase. To provide accurate and dependable referrals, recommender systems ... -
Privacy-Preserving Trust-based Recommendations on Vertically Distributed Data
Kaleli, Cihan; Polat, Hüseyin (IEEE Computer Soc, 2011)Providing recommendations on trusts between entities is receiving increasing attention lately. Customers may prefer different online vendors for shopping. Thus, their preferences about various products might be distributed ... -
Providing naive Bayesian classifier-based private recommendations on partitioned data
Kaleli, Cihan; Polat, Hüseyin (Springer-Verlag Berlin, 2007)Data collected for collaborative filtering (CF) purposes might be split between various parties. Integrating such data is helpful for both e-companies and customers due to mutual advantageous. However, due to privacy ... -
Providing naïve Bayesian classifier-based private recommendations on partitioned data
Kaleli, Cihan; Polat, Hüseyin (2007)Data collected for collaborative filtering (CF) purposes might be split between various parties. Integrating such data is helpful for both e-companies and customers due to mutual advantageous. However, due to privacy ... -
Providing Private Recommendations on Personal Social Networks
Kaleli, Cihan; Polat, Hüseyin (Springer-Verlag Berlin, 2010)Personal social networks are recently used to offer recommendations. Due to privacy concerns, privacy protection while generating accurate referrals is imperative. Since accuracy and privacy are conflicting goals, providing ... -
Providing private recommendations using naive Bayesian classifier
Kaleli, Cihan; Polat, Hüseyin (Springer-Verlag Berlin, 2007)Today's CF systems fail to protect users' privacy. Without privacy protection, it becomes a challenge to collect sufficient and high quality data for CF. With privacy protection, users feel comfortable to provide more ... -
Robustness Analysis of Naive Bayesian Classifier-Based Collaborative Filtering
Kaleli, Cihan; Polat, Hüseyin (Springer-Verlag Berlin, 2013)In this study, binary forms of previously defined basic shilling attack models are proposed and the robustness of naive Bayesian classifier-based collaborative filtering algorithm is examined. Real data-based experiments ... -
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 ...