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

S. Bayoudh, L. Miclet, and A. Delhay, Learning by analogy : A classification rule for binary and nominal data, Proc. Inter. Joint Conf. on Artificial Intelligence IJCAI07, pp.678-683, 2007.

R. M. Bell and Y. Koren, Lessons from the Netflix prize challenge, ACM SIGKDD Explorations Newsletter, vol.9, issue.2, pp.75-79, 2007.
DOI : 10.1145/1345448.1345465

W. Correa-beltran, H. Jaudoin, and O. Pivert, Estimating Null Values in Relational Databases Using Analogical Proportions, Information Processing and Management of Uncertainty in Knowledge-Based Systems -15th International Conference Proceedings, Part III, pp.110-119, 2014.
DOI : 10.1007/978-3-319-08852-5_12

M. Bounhas, H. Prade, and G. Richard, Analogical classification : A new way to deal with examples, ECAI 2014 -21st European Conference on Artificial Intelligence, pp.18-22, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01399864

W. Correa, H. Prade, and G. Richard, When intelligence is just a matter of copying, Proc. 20th Eur. Conf. on Artificial Intelligence, pp.27-31, 2012.

S. Funk, Netflix update : Try this at home. http ://sifter.org/ simon, 2006.

D. Gentner, Structure-Mapping: A Theoretical Framework for Analogy*, Cognitive Science, vol.23, issue.12, pp.155-170, 1983.
DOI : 10.1016/0010-0285(77)90018-4

D. Gentner, K. J. Holyoak, and B. N. Kokinov, The Analogical Mind : Perspectives from Cognitive Science, Cognitive Science, and Philosophy, 2001.

J. L. Herlocker, J. A. Konstan, L. G. Terveen, J. T. Riedl, and M. Mitchell, 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://www.cs.orst.edu/~herlock/papers/tois2004.pdf

D. In, Hofstadter and The Fluid Analogies Research Group, editors, Fluid Concepts and Creative Analogies : Computer Models of the Fundamental Mechanisms of Thought, pp.205-267, 1995.

M. Kaminskas and D. Bridge, Measuring surprise in recommender systems, Procs. of the Workshop on Recommender Systems Evaluation : Dimensions and Design (Workshop Programme of the 8th ACM Conference on Recommender Systems), 2014.

Y. Koren, Factor in the neighbors, ACM Transactions on Knowledge Discovery from Data, vol.4, issue.1, pp.1-1, 2010.
DOI : 10.1145/1644873.1644874

Y. Lepage, De l'analogie rendant compte de la commutation en linguistique. Habilit, Diriger des Recher, 2003.
URL : https://hal.archives-ouvertes.fr/tel-00004372

S. M. Mcnee, J. Riedl, and J. A. Konstan, Being accurate is not enough, CHI '06 extended abstracts on Human factors in computing systems, CHI EA '06, pp.1097-1101, 2006.
DOI : 10.1145/1125451.1125659

E. Melis and M. Veloso, Analogy in problem solving, Handbook of Practical Reasoning : Computational and Theoretical Aspects, 1998.

L. Miclet, N. Barbot, and B. Jeudy, Analogical Proportions in a Lattice of Sets of Alignments Built on the Common Subwords in a Finite Language, Computational Approaches to Analogical Reasoning -Current Trends, 2013.
DOI : 10.1007/978-3-642-54516-0_10

URL : https://hal.archives-ouvertes.fr/hal-00760722

L. Miclet and H. Prade, Handling Analogical Proportions in Classical Logic and Fuzzy Logics Settings, Proc. 10th Eur. Conf. on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU'09), pp.638-650, 2009.
DOI : 10.1007/BFb0017032

H. Prade and G. Richard, Analogical Proportions and Multiple-Valued Logics, Proc. 12th Eur. Conf. on Symb. and Quantit . Appr. to Reasoning with Uncertainty (ECS- QARU'13), pp.497-509, 2012.
DOI : 10.1007/978-3-642-39091-3_42

URL : https://hal.archives-ouvertes.fr/hal-01197273

H. Prade and G. Richard, From Analogical Proportion to Logical Proportions, Logica Universalis, vol.23, issue.12, pp.441-505, 2013.
DOI : 10.1145/359038.359042

URL : https://hal.archives-ouvertes.fr/hal-01138469

H. Prade and G. Richard, Picking the one that does not fit - A matter of logical proportions, Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, 2013.
DOI : 10.2991/eusflat.2013.61

URL : https://hal.archives-ouvertes.fr/hal-01197281

H. Prade and G. Richard, Homogenous and heterogeneous logical proportions, IfCoLog J. of Logics and their Applications, vol.1, issue.1, pp.1-51, 2014.
DOI : 10.1007/978-1-84882-983-1_9

URL : https://hal.archives-ouvertes.fr/hal-01154243

H. Prade, G. Richard, and B. Yao, Classification by means of fuzzy analogy-related proportions — A preliminary report, 2010 International Conference of Soft Computing and Pattern Recognition, pp.297-302, 2010.
DOI : 10.1109/SOCPAR.2010.5686636

T. Sakaguchi, Y. Akaho, K. Okada, T. Date, T. Takagi et al., Recommendation system with multidimensional and parallel-case four-term analogy, IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp.3137-3143, 2011.
DOI : 10.1109/icsmc.2011.6084142

F. Yvon and N. Stroppa, Formal models of analogical proportions, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00145148