H. Avancini and U. Straccia, User recommendation for collaborative and personalised digital archives, International Journal of Web Based Communities, vol.1, issue.2, pp.163-175, 2005.
DOI : 10.1504/IJWBC.2005.006061

S. Brin and L. Page, The anatomy of a largescale hypertextual web search engine The Netherlands, The Netherlands, Proceedings of the Seventh International Conference on World Wide Web 7, WWW7, pp.107-117, 1998.

N. Chan, A. Roussanaly, and A. Boyer, Learning Resource Recommendation: An Orchestration of Content-Based Filtering, Word Semantic Similarity and Page Ranking, Open Learning and Teaching in Educational Communities, pp.302-316, 2014.
DOI : 10.1007/978-3-319-11200-8_23

H. Drachsler, D. Pecceu, T. Arts, E. Hutten, L. Rutledge et al., ReMashed ??? Recommendations for Mash-Up Personal Learning Environments, Proceedings of the 4th European Conference on Technology Enhanced Learning: Learning in the Synergy of Multiple Disciplines, EC-TEL '09, pp.788-793, 2009.
DOI : 10.1504/IJLT.2008.019376

M. Engelhardt, A. Hildebrand, D. Lange, and T. C. Schmidt, Reasoning about elearning multimedia objects, First International Workshop on Semantic Web Annotations for Multimedia (SWAMM), joint with the 15th World Wide Web (WWW) Conference, 2006.

M. Hendez and H. Achour, Keywords extraction for automatic indexing of e-learning resources, 2014 World Symposium on Computer Applications & Research (WSCAR), pp.1-5, 2014.
DOI : 10.1109/WSCAR.2014.6916796

Y. Huang, T. Huang, K. Wang, and W. Hwang, A markov-based recommendation model for exploring the transfer of learning on the web, Educational Technology & Society, vol.12, issue.2, pp.144-162, 2009.

H. G. Hummel, B. Van-den-berg, A. J. Berlanga, H. Drachsler, J. Janssen et al., Combining social-based and information-based approaches for personalised recommendation on sequencing learning activities, International Journal of Learning Technology, vol.3, issue.2, pp.152-168, 2007.
DOI : 10.1504/IJLT.2007.014842

M. K. Khribi, M. Jemni, and O. Nasraoui, Automatic Recommendations for E-Learning Personalization Based on Web Usage Mining Techniques and Information Retrieval, 2008 Eighth IEEE International Conference on Advanced Learning Technologies, pp.30-42, 2009.
DOI : 10.1109/ICALT.2008.198

G. Koutrika, R. Ikeda, B. Bercovitz, and H. Garcia-molina, Flexible recommendations over rich data, Proceedings of the 2008 ACM conference on Recommender systems, RecSys '08, pp.203-210, 2008.
DOI : 10.1145/1454008.1454041

D. Lemire, H. Boley, S. Mcgrath, and M. Ball, Collaborative filtering and inference rules for context???aware learning object recommendation, Interactive Technology and Smart Education, vol.2, issue.3, 2005.
DOI : 10.1108/17415650580000043

C. D. Manning, P. Raghavan, and H. Schutze, Introduction to Information Retrieval, 2008.
DOI : 10.1017/CBO9780511809071

N. Manouselis, H. Drachsler, R. Vuorikari, H. Hummel, and R. Koper, Recommender systems in technology enhanced learning, Recommender Systems Handbook, pp.387-415, 2011.

N. Manouselis, R. Vuorikari, and F. V. Assche, Simulated analysis of maut collaborative filtering for learning object recommendation, Workshop proceedings of the EC-TEL conference: SIRTEL07 (EC-TEL '07, pp.17-20, 2007.

R. J. Nadolski, B. Van-den-berg, A. J. Berlanga, H. Drachsler, H. G. Hummel et al., Simulating light-weight personalised recommender systems in learning networks: A case for pedagogy-oriented and ratingbased hybrid recommendation strategies, Journal of Artificial Societies and Social Simulation, vol.12, issue.1, p.4, 2009.

M. Nilsson, P. Johnston, A. Naeve, and A. Powell, The future of learning object metadata interoperability, Principles and Practices of the Effective Use of Learning Objects, 2006.

L. Page, S. Brin, R. Motwani, and T. Winograd, The pagerank citation ranking: Bringing order to the web, 1999.

P. Saini, M. Ronchetti, S. , and D. , Automatic Generation of Metadata for Learning Objects, Sixth IEEE International Conference on Advanced Learning Technologies (ICALT'06), pp.275-279, 2006.
DOI : 10.1109/ICALT.2006.1652423

G. Salton, A. Wong, Y. , and C. S. , A vector space model for automatic indexing, Communications of the ACM, vol.18, issue.11, pp.613-620, 1975.
DOI : 10.1145/361219.361220

C. Seeberg, A. Steinacker, and R. Steinmetz, Coherence in Modularly Composed Adaptive Learning Documents, Adaptive Hypermedia and Adaptive Web-Based Systems, pp.375-379, 2000.
DOI : 10.1007/3-540-44595-1_50

L. Shen and R. Shen, Learning Content Recommendation Service Based-on Simple Sequencing Specification, Advances in Web-Based Learning ? ICWL 2004, pp.363-370, 2004.
DOI : 10.1007/978-3-540-27859-7_47

T. Tang and G. Mccalla, Smart recommendation for an evolving e-learning system: Architecture and experiment, International Journal on E-Learning, vol.4, issue.1, pp.105-129, 2005.

K. H. Tsai, T. K. Chiu, M. C. Lee, W. , and T. I. , A learning objects recommendation model based on the preference and ontological approaches, Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies, ICALT '06, pp.36-40, 2006.

R. S. Wills, Google???s pagerank, The Mathematical Intelligencer, vol.27, issue.2, pp.6-10, 2006.
DOI : 10.1007/BF02984696

N. Y. Yen, T. K. Shih, L. R. Chao, J. , and Q. , Ranking Metrics and Search Guidance for Learning Object Repository, IEEE Transactions on Learning Technologies, vol.3, issue.3, pp.250-264, 2010.
DOI : 10.1109/TLT.2010.15

L. Zhuhadar, O. Nasraoui, W. , and R. , Metadata domain-knowledge driven search engine in "HyperManyMedia" E-learning resources, Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology, CSTST '08, pp.363-370, 2008.
DOI : 10.1145/1456223.1456298