J. Abernethy, F. R. Bach, T. Evgeniou, and J. Vert, A new approach to collaborative filtering: Operator estimation with spectral regularization, J. Mach. Learn. Res, vol.10, pp.803-826, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00250231

G. Adomavicius, R. Sankaranarayanan, S. Sen, and A. Tuzhilin, Incorporating contextual information in recommender systems using a multidimensional approach, ACM Transactions on Information Systems, vol.23, issue.1, 2005.
DOI : 10.1145/1055709.1055714

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. S. Breese, D. Heckerman, and C. Kadie, Empirical analysis of predictive algorithms for collaborative filtering, Proceedings of 14th Conference on Uncertainty in Artificial Intelligence, pp.43-52, 1998.

E. J. Candès and Y. Plan, Matrix Completion With Noise, Proceedings of the IEEE, vol.98, issue.6
DOI : 10.1109/JPROC.2009.2035722

E. J. Candès and B. Recht, Exact matrix completion via convex optimization, Found. Comput. Math, 2009.

S. H. Choi, S. Kang, and Y. J. Jeon, Personalized recommendation system based on product specification values, Expert Systems with Applications, vol.31, issue.3, pp.607-616, 2006.
DOI : 10.1016/j.eswa.2005.09.074

L. Devroye, L. Györfi, and G. Lugosi, A Probabilistic Theory of Pattern Recognition, 1996.
DOI : 10.1007/978-1-4612-0711-5

L. Györfi, M. Kohler, A. Krzy?, and H. Walk, A Distribution Free Theory of Nonparametric Regression, 2002.
DOI : 10.1007/b97848

D. Heckerman, D. M. Chickering, C. Meek, R. Rounthwaite, and C. Kadie, Dependency networks for density estimation, collaborative filtering, and data visualization, J. Mach. Learn. Res, vol.1, pp.49-75, 2000.

W. C. Hill, L. Stead, M. Rosenstein, and G. W. 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, 1995.
DOI : 10.1145/223904.223929

M. Montaner, B. Lopez, and J. L. Rosa, A taxonomy of recommender agents on the Internet, Artificial Intelligence Review, vol.19, issue.4, pp.285-330, 2003.
DOI : 10.1023/A:1022850703159

P. Resnick, N. Iakovou, M. Sushak, P. Bergstrom, and J. , GroupLens, Proceedings of the 1994 ACM conference on Computer supported cooperative work , CSCW '94, pp.175-186, 1994.
DOI : 10.1145/192844.192905

R. Salakhutdinov, A. Mnih, and G. Hinton, Restricted Boltzmann machines for collaborative filtering, Proceedings of the 24th international conference on Machine learning, ICML '07, pp.791-798, 2007.
DOI : 10.1145/1273496.1273596

B. Sarwar, G. Karypis, J. Konstan, and J. , Item-based collaborative filtering recommendation algorithms, Proceedings of the tenth international conference on World Wide Web , WWW '01, pp.285-295, 2001.
DOI : 10.1145/371920.372071

U. Shardanand and P. Maes, Social information filtering, Proceedings of the SIGCHI conference on Human factors in computing systems, CHI '95, pp.210-217, 1995.
DOI : 10.1145/223904.223931