A. Corbi and D. Burgos, Review of Current Student- M onitoring Techniques used in eLearning-Focused recommender Systems and Learning analytics. The Experience API & LIM E model Case Study, Int. Journal of Interactive Multimedia and Artificial Intelligence, vol.2, issue.7, p.2014

R. Burke, Knowledge-based Recommender Systems, Encyclopedia of Library and Information Systems, issue.32, p.69, 2000.

R. Farzan and P. Brusilovsky, Social navigation support in a course recommendation system Adaptive Hypermedia and Adaptive Web-Based Systems, of the series Lecture Notes in Computer Science, pp.91-100, 2006.

R. V. Guzman-apaza, E. Vera-cervantes, C. Quispe, L. , O. Luna et al., Online Courses Recommendation based on LDA, 2014.

D. F. Onah and J. E. Sinclair, Collaborative filtering recommendation system : a framework in massive open online courses, 9th International Technology, Education and Development Conference, pp.1249-1257

A. Andronico, A. Carbonaro, G. Casadei, L. Colazzo, A. Olinari et al., Integrating a multi-agent recommendation system into a M obile Learning M anagement System, Proceedings of Artificial intelligence in Mobile System, 2003.

T. Sommer, U. Bach, A. Richert, and S. Jeschke, A Web- Based Recommendation System for Engineering Education E-Learning Solutions, 9th International Conference on e- Learning, p.2014

G. Adomavicius and A. Tuzhilin, 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

M. Balabanovic and Y. Shoham, Fab: content-based, collaborative recommendation, Communications of the ACM, vol.40, issue.3, pp.66-72, 1997.
DOI : 10.1145/245108.245124

W. Hill, L. Stead, M. Rosenstein, and G. Furnas, Recommending and evaluating choices in a virtual community of use, Proceedings of the SIGCHI conference on Human factors in computing systems, CHI '95, pp.194-201, 1995.
DOI : 10.1145/223904.223929

P. Kazienko and P. Kolodziejski, Personalized integration of recommendation methods for e-commerce, pp.12-26, 2006.

J. L. Rodgers and A. W. Nicewander, Thirteen Ways to Look at the Correlation Coefficient, The American Statistician, vol.42, issue.1, pp.59-66, 1988.
DOI : 10.2307/2685263

D. A. Adeniyi, Z. Wei, and Y. Yongquan, Automated web usage data mining and recommendation system using K-Nearest Neighbor (KNN) classification method, Applied Computing and Informatics, pp.90-108, 2016.
DOI : 10.1016/j.aci.2014.10.001

URL : https://doi.org/10.1016/j.aci.2014.10.001

A. M. Qamar, Generalized Cosine and Similarity Metrics: A Supervised Learning Approach based on Nearest Neighbors, 2010.
URL : https://hal.archives-ouvertes.fr/tel-00591988

G. Golub and W. Kahan, Calculating the Singular Values and Pseudo-Inverse of a Matrix, Journal of the Society for Industrial and Applied Mathematics Series B Numerical Analysis, vol.2, issue.2, pp.205-224, 1965.
DOI : 10.1137/0702016

M. H. Hsu, A personalized English learning recommender system for ESL students, Expert Systems with Applications, vol.34, issue.1, pp.683-688, 2008.
DOI : 10.1016/j.eswa.2006.10.004

J. Lu, A personalized e-learning material recommender system, Proceedings of International Conferene On International Conference Information Technology for Application, pp.374-379, 2004.

V. Senthil-kumaran and A. Sankar, Recommendation System for Adaptive E-learning using Semantic Net, International Journal of Computer Applications, issue.7, pp.63-2013

L. Shen and R. Shen, Ontology-based learning content recommendation, International Journal of Continuing Engineering Education and Life-Long Learning, vol.15, issue.3/4/5/6, pp.3-6, 2005.
DOI : 10.1504/IJCEELL.2005.007719

L. Sunil and D. K. Saini, Design of a Recommender System for Web Based Learning, Proceedings of the World Congress on Engineering, 2013.

F. Essalmi, L. Jemni-ben-ayed, M. Jemni, M. Kinshuk, and S. Graf, A fully personalization strategy of E-learning scenarios, Computers in Human Behavior, vol.26, issue.4, pp.581-591, 2010.
DOI : 10.1016/j.chb.2009.12.010

F. Bousbahia and H. Chorfia, MOOC-Rec: A Case Based Recommender System for MOOCs, Procedia - Social and Behavioral Sciences, vol.195, pp.1813-1822, 2015.
DOI : 10.1016/j.sbspro.2015.06.395

S. Wess, K. Althoff, and G. Derwand, Using kd-trees to improve the retrieval step in case based reasoning Hybrid approach into the design of a user model for adaptive recommendation system in MOOCs

K. Verbert, N. Ochoa, X. Wolpers, M. Drachsler, H. Bosnic et al., Context-Aware Recommender Systems for Learning: A Survey and Future Challenges, IEEE Transactions on Learning Technologies, vol.5, issue.4, 2007.
DOI : 10.1109/TLT.2012.11

URL : http://doi.org/10.1109/tlt.2012.11

H. Drachsler, H. Hummel, and R. Koper, Recommendations for learners are different: Applying memory-based recommender system techniques to lifelong learning, Proceedings of the 1st Workshop on Social Information Retrieval for Technology-Enhanced Learning & Exchange, 2007.

E. Negre, Information and Recommender System, 2015.
DOI : 10.1002/9781119102779

URL : http://doi.org/10.1002/9781119102779

B. Sarwar, G. Karypis, J. Konstan, and J. Riedl, Application of dimensionality reduction in recommender system-a case study, ACM WebKDD Workshop, 2000.
DOI : 10.21236/ADA439541

I. Brigui-chtioui and P. Caillou, M ultidimensional Decision M odel for Classifying Learners: the case of M assive Online Open Courses (M OOCs), Journal of Decision Systems