Yazar "Kaleli, Cihan" için listeleme
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Privacy-preserving SOM-based recommendations on horizontally distributed data
Kaleli, Cihan; Polat, Hüseyin (Elsevier Science BV, 2012)To produce predictions with decent accuracy, collaborative filtering algorithms need sufficient data. Due to the nature of online shopping and increasing amount of online vendors, different customers' preferences about the ... -
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 ... -
A review on deep learning for recommender systems: challenges and remedies
Batmaz, Zeynep; Yürekli, Ali; Bilge, Alper; Kaleli, Cihan (Springer, 2019)Recommender systems are effective tools of information filtering that are prevalent due to increasing access to the Internet, personalization trends, and changing habits of computer users. Although existing recommender ... -
Robustness analysis of arbitrarily distributed data-based recommendation methods
Yılmazel, Burcu Yurekli; Kaleli, Cihan (Pergamon-Elsevier Science LTD, 2016)Due to different shopping routines of people, rating preferences of many customers might be partitioned between two parties. Since two different e-companies might sell products from the same range to the identical set of ... -
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 ... -
Robustness analysis of naïve Bayesian classifier-based collaborative filtering
Kaleli, Cihan; Polat, Hüseyin (Springer Verlag, 2013)In this study, binary forms of previously defined basic shilling attack models are proposed and the robustness of naïve Bayesian classifierbased collaborative filtering algorithm is examined. Real data-based experiments ... -
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 ... -
Sudoku bulmacasının kuyruk liste veri yapısı tabanlı paralel önce-derine arama yöntemiyle çözülmesi
Kaleli, Cihan; Anadolu Üniversitesi, Fen Bilimleri Enstitüsü, Bilgisayar Mühendisliği Anabilim Dalı; Esen, Zeynep Feyza (Tez (yüksek lisans) - Anadolu Üniversitesi, 2018)NP-Complete bir oyun olan sudoku bulmacası dünya genelinde oldukça ilgi gören bir bulmaca çeşididir. Sudokuya olan ilginin yoğunluğu ilk kez 2006’da şampiyona düzenlenmesine neden olmuştur. Sayıların dizilim ve kullanılan ... -
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 ...