M. B. Ishak, N. B. Amor, and P. Leray, A relational bayesian network-based recommender system architecture, Proceedings of the 5th International Conference on Modeling, Simulation and Applied Optimization, p.2013, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00812168

R. Burke, Hybrid Web Recommender Systems, The adaptive web, pp.377-408, 2007.
DOI : 10.1007/978-3-540-72079-9_12
URL : http://www.inf.unibz.it/~ricci/ISR/papers/burke07.pdf

R. Chulyadyo and P. Leray, A Personalized Recommender System from Probabilistic Relational Model and Users??? Preferences, 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, pp.1063-1072, 2014.
DOI : 10.1016/j.procs.2014.08.193
URL : https://hal.archives-ouvertes.fr/hal-01084449

R. Chulyadyo and P. Leray, Integrating spatial information into probabilistic relational models, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA), pp.1-8, 2015.
DOI : 10.1109/DSAA.2015.7344800

A. Coutant, P. Leray, and H. Le-capitaine, Probabilistic Relational Models with clustering uncertainty, 2015 International Joint Conference on Neural Networks (IJCNN), pp.1-8, 2015.
DOI : 10.1109/IJCNN.2015.7280355
URL : https://hal.archives-ouvertes.fr/hal-01183563

M. D. Ekstrand, J. T. Riedl, and J. A. Konstan, Collaborative filtering recommender systems. Foundations and Trends in Human-Computer Interaction, pp.81-173, 2011.
DOI : 10.1561/1100000009

E. Fersini, E. Messina, and F. Archetti, Probabilistic Relational Models with Relational Uncertainty: An Early Study in Web Page Classification, 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, pp.139-142, 2009.
DOI : 10.1109/WI-IAT.2009.249

N. Friedman, L. Getoor, D. Koller, and A. Pfeffer, Learning probabilistic relational models, International Joint Conference on Artificial Intelligence, pp.1300-1309, 1999.

Y. Gao, H. Qi, J. Liu, and D. Liu, A Recommendation Algorithm Combining User Grade-Based Collaborative Filtering and Probabilistic Relational Models, Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007), pp.67-71, 2007.
DOI : 10.1109/FSKD.2007.113

L. Getoor, Learning statistical models from relational data, Proceedings of the 2011 international conference on Management of data, SIGMOD '11, 2002.
DOI : 10.1145/1989323.1989451
URL : http://kdl.cs.umass.edu/srl2003_upload/files/srl-workshop-notes.pdf

L. Getoor and M. Sahami, Using probabilistic relational models for collaborative filtering, Workshop on Web Usage Analysis and User Profiling (WEBKDD'99), pp.1-6, 1999.

J. L. Herlocker, J. A. Konstan, L. G. Terveen, and J. T. , 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

Z. Huang, D. Zeng, and H. Chen, A Unified Recommendation Framework Based on Probabilistic Relational Models, SSRN Electronic Journal, 2005.
DOI : 10.2139/ssrn.906513

D. Jannach and G. Friedrich, Tutorial: recommender systems, International Joint Conference on Artificial Intelligence, 2013.

P. Melville, R. J. Mooney, and R. Nagarajan, Content-boosted collaborative filtering for improved recommendations, Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, pp.187-192, 2002.

P. Närman, M. Buschle, J. König, and P. Johnson, Hybrid Probabilistic Relational Models for System Quality Analysis, 2010 14th IEEE International Enterprise Distributed Object Computing Conference, pp.57-66, 2010.
DOI : 10.1109/EDOC.2010.29

J. Newton and R. Greiner, Hierarchical probabilistic relational models for collaborative filtering, Workshop on Statistical Relational Learning, 21st International Conference on Machine Learning, 2004.

F. Ricci, L. Rokach, and B. Shapira, Recommender Systems: Introduction and Challenges, Recommender Systems Handbook, chapter 1, pp.1-34, 2015.
DOI : 10.1007/978-1-4899-7637-6_1

J. B. Schafer, D. Frankowski, J. Herlocker, and S. Sen, Collaborative Filtering Recommender Systems, The adaptive web, pp.291-324, 2007.
DOI : 10.1007/978-3-540-72079-9_9

M. J. Wainwright and M. I. Jordan, Graphical Models, Exponential Families, and Variational Inference, Machine Learning, p.305, 2008.
DOI : 10.1561/2200000001
URL : http://www.eecs.berkeley.edu/~wainwrig/Papers/WaiJor08_FTML.pdf