G. Adomavicius, 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

L. Baltrunas and F. Ricci, Dynamic item weighting and selection for collaborative filtering, Proceedings ECM-PKDD, pp.135-145, 2007.
DOI : 10.1007/978-3-642-01891-6_7

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.395.9591

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

L. Candillier, F. Meyer, and M. Boullé, Comparing State-of-the-Art Collaborative Filtering Systems, Proceedings of 5th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLMD'07, pp.548-562, 2007.
DOI : 10.1007/978-3-540-73499-4_41

S. Castagnos and A. Boyer, Personalized Communities in a Distributed Recommender System, Proceedings of the 29th European Conference on Information Retrieval, 2007.
DOI : 10.1007/978-3-540-71496-5_32

URL : https://hal.archives-ouvertes.fr/inria-00171796

P. Chan, A non-invasive learning approach to building web user profiles, 5th International Conference on Knowledge Discovery and Data Mining -Workshop on Web Usage Analysis and User Profiling, 1999.

A. Fred and A. Jain, Robust data clustering, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.128-133, 2003.

K. Goldberg, T. Roeder, D. Gupta, and C. Perkins, Eigenstate: A constant time collaborative filtering algorithm, 2000.

J. Herlocker, J. Konstan, L. Terveen, and J. , Evaluating collaborative filtering recommender systems, ACM Transactions on Information Systems, vol.22, issue.1, pp.5-53, 2004.
DOI : 10.1145/963770.963772

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.78.8384

J. L. Herlocker, J. A. Konstan, A. Borchers, and J. , An algorithmic framework for performing collaborative filtering, Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '99, pp.230-237, 1999.
DOI : 10.1145/312624.312682

G. Karypis, Recommendation Algorithms, Proceedings of the tenth international conference on Information and knowledge management , CIKM'01, pp.247-254, 2001.
DOI : 10.1145/502585.502627

J. Liu, Q. Wang, K. Fang, and Q. Mi, An Optimized Collaborative Filtering Approach Combining with Item-Based Prediction, 2007 11th International Conference on Computer Supported Cooperative Work in Design, pp.157-161, 2007.
DOI : 10.1109/CSCWD.2007.4281427

M. Papagelis and D. Plexousakis, Qualitative analysis of user-based and item-based prediction algorithms for recommendation agents, Engineering Applications of Artificial Intelligence, vol.18, issue.7, pp.781-789, 2005.
DOI : 10.1016/j.engappai.2005.06.010

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

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

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.167.7612

C. E. Shannon, A mathematical theory of communication', Bell Sys, Tech. Journal, vol.27, pp.398-403, 1948.

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

E. Spertus, M. Sahami, and O. Buyukkokten, Evaluating similarity measures, Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining , KDD '05, pp.678-684, 2005.
DOI : 10.1145/1081870.1081956

W. Fu-lee, Improvements to collaborative filtering systems, Proceedings of the International Symposium on Computational and Information Science, pp.975-981, 2004.

K. Yu, X. Xu, M. Ester, and H. P. , Feature Weighting and Instance Selection for Collaborative Filtering: An Information-Theoretic Approach*, Knowledge and Information Systems, vol.5, issue.2, pp.201-224, 2003.
DOI : 10.1007/s10115-003-0089-6

K. Yu, X. Xu, M. Ester, and H. Kriegel, Selecting relevant instances for efficient and accurate collaborative filtering, Proceedings of the tenth international conference on Information and knowledge management , CIKM'01, pp.239-246, 2001.
DOI : 10.1145/502585.502626

W. Ziqiang and F. Boqin, Collaborative Filtering Algorithm Based on Mutual Information, Proceedings of the APWeb Conference, pp.405-415, 2004.
DOI : 10.1007/978-3-540-24655-8_43