G. Adomavicius and A. Tuzhilin, Context-aware recommender systems, Recommender Systems Handbook, pp.217-253, 2011.

L. Baltrunas and F. Ricci, Experimental evaluation of contextdependent collaborative filtering using item splitting User Modeling and User-Adapted Interaction: Special issue on Context- Aware Recommender Systems, 2013.

C. J. Burges, A tutorial on support vector machines for pattern recognition, Data Mining and Knowledge Discovery, vol.2, issue.2, pp.121-167, 1998.
DOI : 10.1023/A:1009715923555

P. Cremonesi, P. Garza, E. Quintarelli, and R. Turrin, Top-N recommendations on Unpopular Items with Contextual Knowledge, 3rd Workshop on Context-Aware Recommender Systems (CARS) at ACM Recommender Systems, 2011.

A. Dey, Understanding and Using Context, Personal and Ubiquitous Computing, vol.5, issue.1, pp.4-7, 2001.
DOI : 10.1007/s007790170019

W. Feller, An Introduction to Probability Theory and its Applications, 1968.

N. Friedman, D. Geiger, and M. Goldszmidt, Bayesian Network Classifiers, Machine Learning, vol.29, issue.2/3, pp.131-163, 1997.
DOI : 10.1023/A:1007465528199

T. Hussein, T. Linder, W. Gaulke, and J. Ziegler, Hybreed: A software framework for developing context-aware hybrid recommender systems, User Modeling and User-Adapted Interaction, vol.8, issue.3, pp.121-174, 2014.
DOI : 10.1007/s11257-012-9134-z

J. Semantic, W. Framework, R. S. Kaabi, and C. Souveyet, Capturing intentional services with business process maps, 1st IEEE Int Conference on Research Challenges in Information Science (RCIS), pp.309-318, 2007.

M. K. Pinheiro, B. Le-grand, C. Souveyet, and S. Najar, Espace de Services : Vers une formalisation des Systèmes d'Information Pervasifs, XXXIème Congrès INFORSID 2013: Informatique des Organisations et Systèmes d'Information et de Décision, p.2013

R. Mayrhofer, An Architecture for Context Prediction, 2004.

M. Meiners, S. Zaplata, and W. Lamersdorf, Structured Context Prediction: A Generic Approach, Proceedings of the 10th IFIP International Conference on Distributed Applications and Interoperable Systems (DAIS), pp.84-97, 2010.
DOI : 10.1007/978-1-4757-3502-4
URL : https://hal.archives-ouvertes.fr/hal-01061629

S. Najar, M. Kirsch-pinheiro, and C. Souveyet, The Influence of Context on Intentional Service, 2011 IEEE 35th Annual Computer Software and Applications Conference Workshops, pp.470-475, 2011.
DOI : 10.1109/COMPSACW.2011.85
URL : https://hal.archives-ouvertes.fr/hal-00673592

S. Najar, M. K. Pinheiro, C. Souveyet, and A. Steffenel, Service Discovery Mechanism for an Intentional Pervasive Information System, 2012 IEEE 19th International Conference on Web Services, pp.520-527, 2012.
DOI : 10.1109/ICWS.2012.84
URL : https://hal.archives-ouvertes.fr/hal-00740053

U. Panniello, A. Tuzhilin, and M. Gorgoglione, Comparing contextaware recommender systems in terms of accuracy and diversity: Which contextual modeling, pre-filtering and post-filtering methods perform the best, User Modeling and User-Adapted Interaction. Special issue on Context-Aware Recommender Systems, 2013.

L. R. Rabiner, A tutorial on hidden Markov models and selected applications in speech recognition, Proceedings of the IEEE, pp.257-286, 1989.

S. Sigg, S. Haseloff, and K. David, An Alignment Approach for Context Prediction Tasks in UbiComp Environments, IEEE Pervasive Computing, vol.9, issue.4, pp.90-97, 2010.
DOI : 10.1109/MPRV.2010.23

H. Xiao, Y. Zou, J. Ng, and L. Nigul, An Approach for Contextaware Service Discovery and Recommendation, IEEE Int. Conf on Web Services (ICWS), pp.163-170, 2010.