1. Adomavicius, G.; Manouselis, N.; Kwon, Y.: Multi-criteria recommender systems. In: Recommender Systems Handbook, pp. 769–803. (2011)
2. Batmaz, Z.; Yilmazel, B.; Kaleli, C.: Shilling attack detection in binary data: a classification approach. J. Ambient. Intell. Humaniz. Comput. 11(6), 2601–2611 (2020)
3. Bradley, K.; Smyth, B.: Improving recommendation diversity. In: Proceedings of the Twelfth Irish Conference on Artificial Intelligence and Cognitive Science, Maynooth, Ireland, pp. 85–94. (2001)
4. Burke, R.; Mobasher, B.; Bhaumik, R.: Limited knowledge shilling attacks in collaborative filtering systems. In: Proceedings of 3rd International Workshop on Intelligent Techniques for Web Personalization (ITWP 2005), 19th International Joint Conference on Artificial Intelligence (IJCAI 2005), pp. 17–24. (2005)
5. Burke, R.; Mobasher, B.; Zabicki, R.; Bhaumik, R.: Identifying attack models for secure recommendation. In: Beyond Personalization: A Workshop on the Next Generation of Recommender Systems, pp. 347–361. (2005)