Providing Private Recommendations Using Naïve Bayesian Classifier. - Cihan Kaleli; Huseyin Polat 001 (AWIC, 2007)

Providing Naïve Bayesian Classifier-Based Private Recommendations on Partitioned Data. - Cihan Kaleli; Huseyin Polat 001 (PKDD, 2007)

On Binary Similarity Measures for Privacy-preserving Top-N Recommendations. - Alper Bilge; Cihan Kaleli; Huseyin Polat 001 (ICSOFT (1), 2010)

Achieving Optimal Privacy in Trust-Aware Social Recommender Systems. - Nima Dokoohaki; Cihan Kaleli; Huseyin Polat 001; Mihhail Matskin (SocInfo, 2010)

Privacy-Preserving Trust-Based Recommendations on Vertically Distributed Data. - Cihan Kaleli; Huseyin Polat 001 (ICSC, 2011)

SOM-based recommendations with privacy on multi-party vertically distributed data. - Cihan Kaleli; Huseyin Polat 001 (J. Oper. Res. Soc., 2012)

Privacy-preserving SOM-based recommendations on horizontally distributed data. - Cihan Kaleli; Huseyin Polat 001 (Knowl. Based Syst., 2012)

Privacy-preserving distributed collaborative filtering (Gizliliği koruyarak dağıtık ortak süzgeçleme) - Cihan Kaleli (2012)

Robustness Analysis of Naïve Bayesian Classifier-Based Collaborative Filtering. - Cihan Kaleli; Huseyin Polat 001 (EC-Web, 2013)

Privacy-Preserving Random Projection-Based Recommendations Based on Distributed Data. - Cihan Kaleli; Huseyin Polat 001 (Int. J. Inf. Technol. Decis. Mak., 2013)

A Survey of Privacy-Preserving Collaborative Filtering Schemes. - Alper Bilge; Cihan Kaleli; Ibrahim Yakut; Ihsan Günes; Huseyin Polat 001 (Int. J. Softw. Eng. Knowl. Eng., 2013)

Shilling attacks against recommender systems: a comprehensive survey. - Ihsan Günes; Cihan Kaleli; Alper Bilge; Huseyin Polat 001 (Artif. Intell. Rev., 2014)

An entropy-based neighbor selection approach for collaborative filtering. - Cihan Kaleli (Knowl. Based Syst., 2014)

Privacy-Preserving Naïve Bayesian Classifier-Based Recommendations on Distributed Data. - Cihan Kaleli; Huseyin Polat 001 (Comput. Intell., 2015)

Robustness analysis of arbitrarily distributed data-based recommendation methods. - Burcu Yurekli Yilmazel; Cihan Kaleli (Expert Syst. Appl., 2016)

Privacy-Aware Detection of Shilling Profiles on Arbitrarily Distributed Recommender Systems. - Burcu Yurekli Yilmazel; Alper Bilge; Cihan Kaleli (IEEE Access, 2019)

A review on deep learning for recommender systems: challenges and remedies. - Zeynep Batmaz; Ali Yürekli; Alper Bilge; Cihan Kaleli (Artif. Intell. Rev., 2019)

Deriving ratings from a private P2P collaborative scheme. - Murat Okkalioglu; Cihan Kaleli (KSII Trans. Internet Inf. Syst., 2019)

Shilling attack detection in binary data: a classification approach. - Zeynep Batmaz; Burcu Yurekli Yilmazel; Cihan Kaleli (J. Ambient Intell. Humaniz. Comput., 2020)

Alleviating the cold-start playlist continuation in music recommendation using latent semantic indexing. - Ali Yürekli; Cihan Kaleli; Alper Bilge (Int. J. Multim. Inf. Retr., 2021)

Exploring playlist titles for cold-start music recommendation: an effectiveness analysis. - Ali Yürekli; Alper Bilge; Cihan Kaleli (J. Ambient Intell. Humaniz. Comput., 2021)

A new similarity-based multicriteria recommendation algorithm based onautoencoders. - Zeynep Batmaz; Cihan Kaleli (Turkish J. Electr. Eng. Comput. Sci., 2022)

A novel top-n recommendation method for multi-criteria collaborative filtering. - Tugba Turkoglu Kaya; Cihan Kaleli (Expert Syst. Appl., 2022)

A novel classification-based shilling attack detection approach for multi-criteria recommender systems. - Tugba Turkoglu Kaya; Emre Yalcin; Cihan Kaleli (Comput. Intell., 2023)

An Approach for Multi-Context-Aware Multi-Criteria Recommender Systems Based on Deep Learning. - Ifra Afzal; Burcu Yurekli Yilmazel; Cihan Kaleli (IEEE Access, 2024)

A novel missing value imputation for multi-criteria recommender systems. - Gökhan Göksel; Ahmet Aydin 001; Zeynep Batmaz; Cihan Kaleli (Inf. Sci., 2025)