[1] Aggarwal, C. (2016) Recommender systems. Springer International Publishing.
[2] Ahn, H. (2008) A new similarity measure for collaborative filtering to alleviate the new user cold-starting Problem, Information Sciences, 178.1, 37-51.
[3] Adomavicius G. and Tuzhilin A. (2005) Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions, IEEE Transactions on Knowledge Data Engineering, 6, 734-749.
[4] Bellogín, A., Castells, P. and Cantador, I. (2013) Improving memory-based collaborative filtering by neighbour selection based on user preference overlap, Proceedings of the 10th Conference on Open Research Areas in Information Retrieval.
[5] Bobadilla, J., Ortega, F., Hernando, A. and Bernal, J. (2012) A collaborative filtering a roach to mitigate the new user cold start problem,Knowledge-Based Systems, 26, 225-238.
[6] Cacheda, F., Carneiro, V., Fernández, D. and Formoso, V. (2011) Comparison of collaborative filtering algorithms: Limitations of current techniques and proposals for scalable, high-performance recommender systems, ACM Transactions on the Web (TWEB), 5.1.
[7] Goldberg, D., Nichols, D., Oki, B. and Terry, D. (1992) Using collaborative filtering to weave an information tapestry, Communications of the ACM, 35.12, 61-70.
[8] Hahsler, M. (2011) Developing and testing top-n recommendation algorithms for 0-1 data using recommenderlab, NSF Industry University Cooperative Research Center for Net-Centric Software and System.
[9] Javari, A., Gharibshah, J. and Jalili, M. (2014) Recommender systems based on collaborative filtering and resource allocation, Social Network Analysis and Mining, 4.1.
[10] Koohi, H. and Kiani, K. (2016) User based Collaborative Filtering using fuzzy C-means, Measurement, 91, 134-139.
[11] Konstan, J., Miller, B., Maltz, D., Herlocker, J., Gordon, L. and Riedl, J. (1997) GroupLens: a lying collaborative filtering to Usenet news, Communications of the ACM, 40.3, 77-87.
[12] Liu, H., Hu, Z., Mian, A., Tian, H. and Zhu, X. (2014) A new user similarity model to improve the accuracy of collaborative filtering, Knowledge-Based Systems, 56, 156-166.
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