K. Cheung, J. T. Kwok, M. H. Law, and K. Tsui, Mining customer product ratings for personalized marketing, Decis. Support Syst, vol.35, issue.2, pp.231-243, 2003.

Y. Cao, Y. Li, and X. Liao, Applying fuzzy logic to recommend consumer electronics, ICDCIT, pp.278-289, 2005.

F. Coenen, P. H. Leng, and L. Zhang, Design and evaluation of a multi-agent collaborative web mining system, PAKDD, vol.35, pp.167-183, 2003.

M. Luis, J. M. De-campos, and J. F. Fernández-luna,

. Huete, A collaborative recommender system based on probabilistic inference from fuzzy observations, Fuzzy Sets Syst, vol.159, issue.12, pp.1554-1576, 2008.

D. Dubois, E. Hüllermeier, and H. Prade, Fuzzy methods for case-based recommendation and decision support, J. Intell. Inf. Syst, vol.27, issue.2, pp.95-115, 2006.

D. Dubois and H. Prade, A note on quality measures for fuzzy association rules, Proceedings IFSA?03, 10th International Fuzzy Systems Association World Congress, number 2715 in Lecture Notes in Artificial Intelligence, vol.677, 2003.

B. Liu, W. Hsu, and Y. Ma, Integrating classification and association rule mining, Knowledge Discovery and Data Mining, pp.80-86, 1998.

W. Li, J. Han, and J. Pei, CMAR : Accurate and efficient classification based on multiple class-association rules, ICDM, pp.369-376, 2001.

C. Lee, Y. Kim, and P. Rhee, Web personalization expert with combining collaborative filtering and association rule mining technique. Expert Systems and Applications, vol.21, pp.131-137, 2001.

N. María, F. J. Moreno, M. J. García, V. F. Polo, and . López, Using Association Analysis of Web Data in Recommender Systems, Commerce and Web Technologies, vol.3182, p.11, 2004.

. Springer, , 2004.

O. Nasraoui, H. Frigui, A. Joshi, and R. Krishnapuram, Mining web access logs using relational competitive fuzzy clustering, Proceedings of the Eight International Fuzzy Systems Association World Congress, 1999.

R. Srikant and R. Agrawal, Mining quantitative association rules in large relational tables, Proceedings of the ACM SIGMOD International Conference On Management of Data, pp.1-12, 1996.

M. Badrul, G. Sarwar, J. A. Karypis, J. Konstan, and . Riedl, Analysis of recommendation algorithms for e-commerce, ACM Conference on Electronic Commerce, pp.158-167, 2000.

M. Badrul, G. Sarwar, J. A. Karypis, J. Konstan, and . Reidl, Item-based collaborative filtering recommendation algorithms, World Wide Web, pp.285-295, 2001.

F. Thabtah, P. Cowling, and Y. Peng, Mcar : multi-class classification based on association rule, AICCSA '05 : Proceedings of the ACS/IEEE 2005 International Conference on Computer Systems and Applications, p.33, 2005.

H. Ian, E. Witten, and . Frank, Data Mining : Practical machine learning tools and techniques, 2005.

R. R. Yager, Fuzzy logic methods in recommender systems, Fuzzy Sets Syst, vol.136, issue.2, pp.133-149, 2003.

X. Yin and J. Han, Cpar : Classification based on predictive association rules, SIAM International Conference on Data Mining (SDM?03), pp.331-335, 2003.

C. Ziegler, S. M. Mcnee, J. A. Konstan, and G. Lausen, Improving recommendation lists through topic diversification, 14th International World Wide Web Conference (WWW '05), 2005.