Yazar "Polat, Hüseyin" için listeleme
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Improving privacy-preserving NBC-based recommendations by preprocessing
Bilge, Alper; Polat, Hüseyin (2010)Providing accurate predictions efficiently with privacy is imperative for both customers and e-commerce vendors. However, privacy, accuracy, and performance are conflicting goals. Although producing referrals with privacy ... -
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 ... -
A new hybrid recommendation algorithm with privacy
Renckes, Şahin; Polat, Hüseyin; Oysal, Yusuf (Wiley-Blackwell, 2012)Providing accurate and dependable recommendations efficiently while preserving privacy is essential for e-commerce sites to recruit new customers and keep the existing ones. Such sites might be able to increase their sales ... -
A novel shilling attack detection method
Bilge, Alper; Özdemir, Zeynep; Polat, Hüseyin (Elsevier Science BV, 2014)Recommender systems provide an impressive way to overcome information overload problem. However, they are vulnerable to profile injection or shilling attacks. Malicious users and/or parties might construct fake profiles ... -
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, ... -
On the Discovery of Fake Binary Ratings
Okkalıoğlu, Murat; Koç, Mehmet; Polat, Hüseyin (Assoc Computing Machinery, 2015)Privacy-preserving collaborative filtering methods promise to preserve privacy of individuals. In general, privacy has two aspects, preserving the rating values of users and masking who rated which items. In this study, ... -
On the Privacy of Horizontally Partitioned Binary Data-Based Privacy-Preserving Collaborative Filtering
Okkalıoğlu, Murat; Koç, Mehmet; Polat, Hüseyin (Springer Int Publishing Ag, 2016)Collaborative filtering systems provide recommendations for their users. Privacy is not a primary concern in these systems; however, it is an important element for the true user participation. Privacy-preserving collaborative ... -
On the robustness of privacy-preserving collaborative filtering schemes
Güneş, İhsan (Anadolu Üniversitesi, 2015)Gizlilik-tabanlı ortak filtreleme artan ilgi görmektedir. Gizliliği ihlal etmeden doğru öneriler üreten değişik algoritmalar vardır. Ortak filtreleme algoritmalarında olduğu gibi gizlilik-tabanlı ortak filtreleme algoritmaları ... -
P2P collaborative filtering with privacy
Kaleli, Cihan; Polat, Hüseyin (Tubitak Scientific & Technical Research Council Turkey, 2010)With the evolution of the Internet and e-commerce, collaborative filtering (CF) and privacy-preserving collaborative filtering (PPCF) have become popular The goal in CF is to generate predictions with decent accuracy, ... -
Pcf: Projection-Based Collaborative Filtering
Yakut, İbrahim; Polat, Hüseyin; Koç, Mehmet (Scitepress, 2010)Collaborative filtering (CF) systems are effective solutions for information overload problem while contributing web personalization. Different memory-based algorithms operating over entire data set have been utilized for ... -
Privacy-preserving collaborative filtering on arbitrarily partitioned data
Yakut, İbrahim (Anadolu Üniversitesi, 2012)Data collected for collaborative filtering purposes might be arbitrarily partitioned between two parties, even rival companies. Online vendors might have insufficient user ratings. Scarce data then might cause offering ... -
Privacy-preserving dimensionality reduction-based collaborative filtering
Yakut, İbrahim (Anadolu Üniversitesi, 2008)İşbirlikçi filtreleme (İF) sistemleri birçok elektronik ticaret sitesi tarafından kullanılmaktadır. Fakat bu sistemler gizlilik ölçütlerini sağlamada yetersiz kalmaktadırlar. Birçok internet kullanıcısı gizlilik endişelerinden ... -
Privacy-preserving distributed collaborative filtering
Kaleli, Cihan (Anadolu Üniversitesi, 2012)Doğru ve güvenilir öneriler üretebilmek için sanal alışveriş siteleri yeterli veriye ihtiyaç duyarlar. Fakat sanal alışverişin doğası gereği ve e-ticaret sitelerinin sayısındaki artış nedeniyle ortak süzgeçleme amacıyla ... -
Privacy-preserving Eigentaste-based collaborative filtering
Yakut, İbrahim; Polat, Hüseyin (Springer-Verlag Berlin, 2007)With the evolution of e-commerce, privacy is becoming a major concern. Many e-companies employ collaborative filtering (CF) techniques to increase their sales by providing truthful recommendations to customers. Many ... -
Privacy-preserving geo-statistics
Tuğrul, Bülent (Anadolu Üniversitesi, 2014)Jeoistatistik uzaysal veri ile ilgilenir ve konum ve ölçüm verileri arasındaki ilişkiyi ortaya çıkarmaya çalışır. Jeoistatistikte kullanılan enterpolasyon yöntemleri yakın nesnelerin uzak nesnelere göre daha çok birbirine ... -
Privacy-preserving hybrid collaborative filtering on cross distributed data
Yakut, İbrahim; Polat, Hüseyin (Springer London LTD, 2012)Data collected for collaborative filtering (CF) purposes might be cross distributed between two online vendors, even competing companies. Such corporations might want to integrate their data to provide more precise and ... -
Privacy-Preserving Inverse Distance Weighted Interpolation
Tuğrul, Bülent; Polat, Hüseyin (Springer Heidelberg, 2014)Inverse distance weighted (IDW) interpolation is one of the well-known geo-statistics techniques. On the one hand, one party (server) holding some measurements for specific locations wants to provide predictions; on the ... -
Privacy-Preserving Kriging Interpolation on Distributed Data
Tuğrul, Bülent; Polat, Hüseyin (Springer-Verlag Berlin, 2014)Kriging is one of the most preferred geostatistical methods in many engineering fields. Basically, it creates a model using statistical properties of all measured points in the region, where a prediction value is sought. ... -
Privacy-preserving kriging interpolation on distributed data
Tuğrul, Bülent; Polat, Hüseyin (Springer Verlag, 2014)Kriging is one of the most preferred geostatistical methods in many engineering fields. Basically, it creates a model using statistical properties of all measured points in the region, where a prediction value is sought. ... -
Privacy-preserving kriging interpolation on partitioned data
Tuğrul, Bülent; Polat, Hüseyin (Elsevier Science BV, 2014)Kriging is well-known, frequently applied method in geo-statistics. Its success primarily depends on the total number of measurements for some sample points. If there are sufficient sample points with measurements, kriging ...