A. M. Rashid, I. Albert, D. Cosley, S. K. Lam, S. Mcnee et al., Getting to know you, Proceedings of the 7th international conference on Intelligent user interfaces , IUI '02, pp.127-134, 2002.
DOI : 10.1145/502716.502737

A. Rashid, G. Mamunur, J. Karypis, and . Riedl, Learning preferences of new users in recommender systems, ACM SIGKDD Explorations Newsletter, vol.10, issue.2, pp.90-100, 2008.
DOI : 10.1145/1540276.1540302

B. Lika, K. Kolomvatsos, and S. Hadjiefthymiades, Facing the cold start problem in recommender systems, Expert Systems with Applications, vol.41, issue.4, pp.2065-2073, 2014.
DOI : 10.1016/j.eswa.2013.09.005

M. Stritt, K. H. Tso, and L. S. Thieme, Attribute aware anonymous recommender systems, in Advances in Data Analysis, p.497504, 2014.
DOI : 10.1007/978-3-540-70981-7_57
URL : http://www.ismll.uni-hildesheim.de/pub/pdfs/Stritt_Tso_Schmidt-Thieme-aaars.pdf

W. Hill, . Stead, . Larry, M. Rosenstein, and G. Furnas, Recommending and evaluating choices in a virtual community of use, Proceedings of the SIGCHI conference on Human factors in computing systems, CHI '95, pp.194-201
DOI : 10.1145/223904.223929

]. Grossman, How Computers Know What We Want Before We Do Available at: http://item.time.com/time, p.917100, 1992403.

G. Adomavicius and A. Tuzhilin, Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions, IEEE Transactions on Knowledge and Data Engineering, vol.17, issue.6, pp.734-749, 2005.
DOI : 10.1109/TKDE.2005.99

J. Gaillard, M. El-beze, E. Altman, and E. Ethis, Flash reactivity : adaptative models in recommender systems, International Conference on Data Mining (DMIN), WORLDCOMP, 2013.

G. Adomavicius and A. Tuzhilin, Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions, IEEE Transactions on Knowledge and Data Engineering, vol.17, issue.6, pp.734-749, 2005.
DOI : 10.1109/TKDE.2005.99

B. Sarwar, G. Karypis, J. Konstan, and J. Riedl, Item-based collaborative Filtering recommendation algorithms APPENDIX A: PROOFS Lemma 2: The new belief B 1 is uniformly distributed over area A 1 which has two choices, Proceedings of the 10th international conference on World Wide Web, pp.285-295, 2001.