Su, X, Khoshgoftaar, TM. A survey of collaborative filtering techniques. Adv Artif Intell 2009, 2–2.
Goldberg, D, Nichols, D, Oki, BM, Terry, D. Using collaborative filtering to weave an information Tapestry. Commun ACM 1992, 35:61–70.
Bilge, A, Kaleli, C, Yakut, I, Gunes, I, Polat, H. A survey of privacy‐preserving collaborative filtering schemes. Int J Soft Eng Knowl Eng 2013, 23:1085–1108.
Canny, J. Collaborative filtering with privacy. In: Proceedings of the IEEE Symposium on Security and Privacy, Oakland, CA, 2002, 45–57.
Canny, J. Collaborative filtering with privacy via factor analysis. In: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Tampere, Finland, 2002, 238–245.
Casino, F, Patsakis, C, Puig, D, Solanas, A. On privacy preserving collaborative filtering: current trends, open problems, and new issues. In: Proceedings of the IEEE 10th International Conference on e‐Business Engineering, Coventry, UK, 2013, 244–249.
Castagnos, S, Boyer, A. Privacy concerns when modeling users in collaborative filtering recommender systems. In: Gupta, M, Sharman, R, eds. Social and Human Elements of Information Security: Emerging Trends and Countermeasures. Hershey, PA: IdeaGroup Inc.; 2008, 247–260.
Jeckmans, AJP, Beye, MRT, Erkin, Z, Hartel, PH, Lagendijk, RL, Tang, Q. Privacy in recommender systems. In: Ramzan, N, van Zwol, R, Lee, J‐S, Clüver, K, Hua, X‐S, eds. Social Media Retrieval. London: Springer‐Verlag; 2013, 263–281.
Zhang, F, Wang, J, Chao, J. Cross‐system privacy preserving recommendation algorithm based on secure multi‐party computation. J Comput Inf Syst 2010, 6:3013–3021.
Sun, C, Fu, Y, Gao, H, Zhou, J. Privacy‐preserving distributed collaborative filtering using random orthogonal transformation. In: Proceedings of the 5th International Conference on Multimedia Information Networking and Security, Beijing, China, 2013, 519–522.
Nakamura, T, Kiyomoto, S, Watanabe, R, Miyake, Y. P3MCF: practical privacy‐preserving multi‐domain collaborative filtering. In: Proceedings of the 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, Melbourne, Australia, 2013, 354–361.
Zhang, F, Lee, VE, Jin, R. k‐CoRating: filling up data to obtain privacy and utility. In: Proceedings of the 28th AAAI Conference on Artificial Intelligence, Québec, Canada, 2014, 320–327.
Zhang, J, Zhu, J, Zhang, N. An improved privacy‐preserving collaborative filtering recommendation algorithm. In: Proceedings of the Pacific Asia Conference on Information Systems, Chengdu, China, 2014.
Memis, B, Yakut, I. Privacy‐preserving collaborative filtering on overlapped ratings. In: Proceedings of the IEEE 22nd International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, Hammamet, Tunisia, 2013, 166–171.
Memis, B, Yakut, I. Privacy‐preserving two‐party collaborative filtering on overlapped ratings. KSII Trans Internet Inf Syst 2014, 8:2948–2966.
Kaleli, C, Polat, H. Privacy‐preserving naïve Bayesian classifier‐based recommendations on distributed data. Comput Intell 2015, 31:47–68.
Wang, X, Zhang, J. SVD‐based privacy preserving data updating in collaborative filtering. In: Proceedings of the World Congress on Engineering 2012, Vol. I, London, UK, 2012, 377–384.
Wang, X, Zhang, J. Handling the data growth with privacy preservation in collaborative filtering. Lect Notes Electr Eng 2013, 229:231–243.
Wang, X, Zhang, J, Lin, P, Thapa, N, Wang, Y, Wang, J. Incorporating auxiliary information in collaborative filtering data up date with privacy preservation. Int J Adv Comput Sci Appl 2014, 5:224–235.
Weinsberg, U, Bhagat, S, Ioannidis, S, Taft, N. BlurMe: inferring and obfuscating user gender based on ratings. In: Proceedings of the 6th ACM Conference on Recommender Systems, Dublin, Ireland, 2012, 195–202.
Kikuchi, H, Mochizuki, A. Privacy‐preserving collaborative filtering using randomized response. J Inf Process 2013, 21:617–623.
Boutet, A, Frey, D, Guerraoui, R, Jégou, A, Kermarrec, AM. Privacy‐preserving distributed collaborative filtering. Lect Notes Comput Sci 2014, 8593:169–184.
Luo, Z, Chen, S, Li, Y. A distributed anonymization scheme for privacy‐preserving recommendation systems. In: Proceedings of the 4th IEEE International Conference on Software Engineering and Service Science, Beijing, China, 2013, 491–494.
Casino, F, Domingo‐Ferrer, J, Patsakis, C, Puig, D, Solanas, A. Privacy preserving collaborative filtering with k‐anonymity through microaggregation. In: Proceedings of the IEEE 10th International Conference on e‐Business Engineering, Coventry, UK, 2013, 490–497.
Casino, F, Domingo‐Ferrer, J, Patsakis, C, Puig, D, Solanas, A. A k‐anonymous approach to privacy preserving collaborative filtering. J Comput Syst Sci 2014, 81:1000–1011.
Bilge, A, Gunes, I, Polat, H. A robust privacy‐preserving recommendation algorithm. In: Proceedings of the 2nd Asian Conference on Information Systems, Phuket, Thailand, 2013, 95–102.
Gunes, I, Bilge, A, Kaleli, C, Polat, H. Shilling attacks against privacy‐preserving collaborative filtering. J Adv Manage Sci 2013, 1:54–60.
Gunes, I, Bilge, A, Polat, H. Shilling attacks against memory‐based privacy‐preserving recommendation algorithms. KSII Trans Internet Inf Syst 2013, 7:1272–1290.
Bilge, A, Gunes, I, Polat, H. Robustness analysis of privacy‐preserving model‐based recommendation schemes. Expert Syst Appl 2014, 41:3671–3681.
Gunes, I, Polat, H. Robustness analysis of privacy‐preserving hybrid recommendation algorithm. Int J Inf Secur Sci 2015, 4:13–25.
Gunes, I, Polat, H. Hierarchical clustering‐based shilling attack detection in private environments. In: Proceedings of the 3rd International Symposium on Digital Forensics and Security, Ankara, Turkey, 2015, 1–7.
Chow, R, Pathak, MA, Wang, C. A practical system for privacy‐preserving collaborative filtering. In: Proceedings of the International Workshop on Privacy in Social Data, Brussels, Belgium, 2012, 547–554.
Erkin, Z, Beye, MRT, Veugen, T, Lagendijk, RL. Privacy‐preserving content‐based recommender system. In: Proceedings of the 14th ACM Workshop on Multimedia and Security, Coventry, UK, 2012, 77–84.
Jeckmans, AJP. Cryptographically‐enhanced privacy for recommender systems. PhD Thesis, University of Twente, 2014.
Li, D, Chen, C, Lv, Q, Shang, L, Zhao, Y, Lu, T, Gu, N. An algorithm for efficient privacy‐preserving item‐based collaborative filtering. Future Gener Comput Syst 2014.
Erkin, Z, Veugen, T, Lagendijk, RL. Privacy‐preserving recommender systems in dynamic environments. In: Proceedings of the IEEE International Workshop on Information Forensics and Security, Guangzhou, China, 2013, 61–66.
Armknecht, F, Strufe, T. An efficient distributed privacy‐preserving recommendation system. In: Proceedings of the 10th IFIP Annual Mediterranean Ad Hoc Networking Workshop, Favignana Island, Sicily, Italy, 2011, 65–70.
Castagnos, S, Boyer, A. From implicit to explicit data: a way to enhance privacy. In: Proceedings of the Workshop on Privacy‐Enhanced Personalization, Montréal, QC, Canada, 2006.
Honda, K, Matsumoto, Y, Kawano, A, Notsu, A, Ichihashi, H. A study on privacy preserving collaborative filtering with data anonymization by clustering. In: Watanabe, T, Watada, J, Takahashi, N, Howlett, RJ, Jain, LC, eds. Intelligent Interactive Multimedia: Systems and Services. Springer: Berlin/Heidelberg; 2012, 43–52.
Borole, S, Javheri, SB. Private recommendation based on Elgamal homomorphic encryption scheme. Int J Adv Res Comput Sci Soft Eng 2014, 4:1364–1367.
Swami, SB, Madavi, SN. Review on generating private recommendations using Elgamal homomorphic encryption. Int J Innov Res Comput Commun Eng 2014, 2:7619–7623.
Bilge, A, Polat, H. A scalable privacy‐preserving recommendation scheme via bisecting k‐means clustering. Inf Process Manage 2013, 49:912–927.
Bilge, A, Polat, H. A comparison of clustering‐based privacy‐preserving collaborative filtering schemes. Appl Soft Comput 2013, 13:2478–2489.
Zhu, T, Li, G, Ren, Y, Zhou, W, Xiong, P. Differential privacy for neighborhood‐based collaborative filtering. In: Proceedings of the IEEE/ACM International Conference Advances in Social Networks Analysis and Mining, Niagara Falls, ON, Canada, 2013, 752–759.
Zhu, T, Ren, Y, Zhou, W, Rong, J, Xiong, P. An effective privacy preserving algorithm for neighbourhood‐based collaborative filtering. Future Gener Comput Syst 2014, 36:142–155.
Zhu, T, Li, G, Pan, L, Ren, Y, Zhou, W. Privacy preserving collaborative filtering for KNN attack resisting. Soc Netw Anal Min 2014, 4:196.
Gao, Y, Xia, J, Ji, J, Ma, L. Robust analysis on a privacy preserving recommendation algorithm under the KNN attack. Appl Mech Mater 2014, 610:717–721.
Alsalibi, BA, Zakaria, N. CFPRS: collaborative filtering privacy recommender system for online social networks. Int J Eng Res Appl 2013, 3:1850–1858.
Basu, A, Vaidya, J, Kikuchi, H, Dimitrakos, T. Practical privacy preserving collaborative filtering on the Google App Engine. In: Proceedings of the Computer Security Symposium, Niigata, Japan, 2011.
Basu, A, Vaidya, J, Dimitrakos, T, Kikuchi, H. Feasibility of a privacy preserving collaborative filtering scheme on the Google App Engine: a performance case study. In: Proceedings of the 27th Annual ACM Symposium on Applied Computing, Trento, Italy, 2012, 447–452.
Bilge, A, Kaleli, C, Yakut, I, Polat, H. On applications of privacy‐preserving collaborative filtering schemes. In: Proceedings of the 5th International Conference on Information Security and Cryptology, Ankara, Turkey, 2012, 93–99.
Basu, A, Vaidya, J, Kikuchi, H, Dimitrakos, T, Nair, SK. Privacy preserving collaborative filtering for SaaS enabling PaaS clouds. J Cloud Comput Adv Syst Appl 2012, 1:8.
Basu, A, Vaidya, J, Kikuchi, H, Dimitrakos, T. Privacy‐preserving collaborative filtering on the cloud—practical implementation experiences. In: Proceedings of the IEEE 6th International Conference on Cloud Computing, Santa Clara, CA, 2013, 406–413.
McSherry, FD, Mironov, I. Differential privacy preserving recommendation. U.S. Patent No. 8619984, 2011.
Pathak, MA, Chow, R, Shi, R, Wang, C. Privacy preserving collaborative filtering. U.S. Patent No. 8478768, 2013.
Kikuchi, H, Aoki, Y, Terada, M, Ishii, K, Sekino, K. Accuracy of privacy‐preserving collaborative filtering based on quasi‐homomorphic similarity. In: Proceedings of the 9th International Conference on Ubiquitous Intelligence and Computing and 9th International Conference on Autonomic and Trusted Computing, Fukuoka, Japan, 2012, 555–562.
Banerjee, S, Hedge, N, Massoulié, L. The price of privacy in untrusted recommendation engines. In: Proceedings of the 50th Annual Allerton Conference on Communication, Control, and Computing, Monticello, IL, 2012, 920–927.
Zou, J, Einolghozati, A, Fekri, F. Privacy‐preserving item‐based collaborative filtering using semi‐distributed belief propagation. In: Proceedings of the 1st IEEE Conference on Communications and Network Security, Washington, DC, 2013, 189–197.
Shang, S, Hui, Y, Hui, P, Cuff, P, Kulkarni, S. Privacy preserving recommendation system based on groups. CoRR, 2013, abs/1305.0540.
Shang, S, Hui, Y, Hui, P, Cuff, P, Kulkarni, S. Beyond personalization and anonymity: towards a group‐based recommender system. In: Proceedings of the 29th Annual ACM Symposium on Applied Computing, Gyeongju, Korea, 2014, 266–273.
Zhao, Y, Chow, SSM. Privacy preserving collaborative filtering from asymmetric randomized encoding. In: Proceedings of the Financial Cryptography and Data Security, Puerto Rico, 2015.
Kaleli, C, Polat, H. Privacy‐preserving random projection‐based recommendations based on distributed data. Int J Inf Technol Decis Mak 2013, 12:201–232.
Jeckmans, AJP, Peter, A, Hartel, PH. Efficient privacy‐enhanced familiarity‐based recommender system. Lect Notes Comput Sci 2013, 8134:400–417.
Chen, R, Xie, M, Lakshmanan, LVS. Thwarting passive privacy attacks in collaborative filtering. Lect Notes Comput Sci 2014, 8422:218–233.
Parra‐Arnau, J, Rebollo‐Monedero, D, Forné, J. Measuring the privacy of user profiles in personalized information systems. Future Gener Comput Syst 2013, 33:53–63.
Zhang, B, Wang, N, Jin, H. Privacy concerns in online recommender systems: influences of control and user data input. In: Proceedings of the 10th Symposium on Usable Privacy and Security, Menlo Park, CA, 2014, 159–173.
Baraglia, R, Lucchese, C, Orlando, S, Serranó, M, Silvestri, F. A privacy preserving Web recommender system. In: Proceedings of the 21st Annual ACM Symposium on Applied Computing, Dijon, France, 2006, 559–563.
Baraglia, R, Lucchese, C, Orlando, S, Perego, R, Silvestri, F. Preserving privacy in Web recommender systems. In: Bonchi, F, Ferrari, E, eds. Privacy‐Aware Knowledge Discovery: Novel Applications and New Techniques. London: CRC Press; 2010, 369–391.
Riboni, D, Bettini, C. Private context‐aware recommendation of points of interest: An initial investigation. In: Proceedings of the 9th IEEE Workshop on Context Modeling and Reasoning, Lugano, Switzerland, 2012, 584–589.
Ramakrishnan, N, Keller, BJ, Mirza, BJ, Grama, AY, Karypis, G. When being weak is brave: Privacy issues in recommender systems. 2013, arXiv:cs/0105028v1.
Basu, A, Corena, JC, Kiyomoto, S, Marsh, S, Vaidya, J, Guo, G, Zhang, J, Miyake, Y. Privacy preserving trusted social feedback. In: Proceedings of the 29th Annual ACM Symposium on Applied Computing, Gyeongju, Korea, 2014, 1706–1711.
Troiano, L, Díaz, I. A model for preserving privacy in recommendation systems. In: Laurent, A, Strauss, O, Bouchon‐Meunier, B, Yager, RR, eds. Information Processing and Management of Uncertainty in Knowledge‐Based Systems. Montpellier, France: Springer International Publishing; 2014, 56–65.
Frey, D, Guerraoui, R, Kermarrec, A‐M, Rault, A. Collaborative filtering under a sybil attack: analysis of a privacy threat. In: Proceedings of the 8th European Workshop on System Security, Bordeaux, France, 2015: 5.
Scipioni, MP. Towards privacy‐aware location‐based recommender systems. In: Proceedings of the IFIP Summer School 2011, Trento, Italy, 2011.
Shao, J, Lu, R, Lin, X. FINE: a fine‐grained privacy‐preserving location‐based service framework for mobile devices. In: Proceedings of the IEEE International Conference on Computer Communications, Toronto, ON, Canada, 2014, 244–252.
Borràs, J, Moreno, A, Valls, A. Intelligent tourism recommender systems: a survey. Expert Syst Appl 2014, 41:7370–7389.
Calandrino, JA, Kilzer, A, Narayanan, A, Felten, EW, Shmatikov, V. “You might also like”: privacy risks of collaborative filtering. In: Proceedings of the IEEE Symposium on Security and Privacy, Oakland, CA, 2011, 231–246.
Okkalioglu, M, Koc, M, Polat, H. On the discovery of fake binary ratings. In: Proceedings of the 30th Annual ACM Symposium on Applied Computing, Salamanca, Spain, 2015, 901–907.
Zhang, S, Ford, J, Makedon, F. Deriving private information from randomly perturbed ratings. In: Proceedings of the 6th SIAM International Conference on Data Mining, Bethesda, MD, 2006, 59–69.