J. Grudin, Groupware and social dynamics: Eight challenges for developers, Communications of the ACM, vol.371, pp.92-105, 1994.

D. M. Wegner, Transactive memory: A contemporary analysis of the group mind Theories of group behavior, pp.185-208, 1987.

J. R. Austin, Transactive memory in organizational groups: The effects of content, consensus, specialization, and accuracy on group performance., Journal of Applied Psychology, vol.88, issue.5, p.866, 2003.
DOI : 10.1037/0021-9010.88.5.866

R. Zarka, A. Cordier, E. Egyed-zsigmond, and A. Mille, Trace replay with change propagation impact in client/server applications, IC 2011, pp.607-622, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00746727

L. F. Tomaz, J. A. Nt, J. M. Souza, and G. B. Xexé-o, Bringing knowledge into recommendation systems, Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design (CSCWD), pp.246-252, 2011.
DOI : 10.1109/CSCWD.2011.5960081

N. Chang, M. Irvan, and T. Terano, A TV Program Recommender Framework, Procedia Computer Science, vol.22, pp.561-570, 2013.
DOI : 10.1016/j.procs.2013.09.136

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

Y. J. Chen, H. C. Chu, Y. M. Chen, and C. Y. Chao, Adapting domain ontology for personalized knowledge search and recommendation, Information & Management, vol.50, issue.6, pp.285-303, 2013.
DOI : 10.1016/j.im.2013.05.001

S. Sahay, A. Venkatesh, and A. Ram, Cobot: Real time multi user conversational search and recommendations, Recommender Systems & the Social Web, 2009.

J. S. Breese, S. John, D. Heckerman, and C. Kadie, Empirical analysis of predictive algorithms for collaborative filtering, Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence, pp.43-52, 1998.

M. K. Condliff, D. D. Lewis, D. Madigan, and C. Posse, Bayesian mixedeffects models for recommender systems, ACM SIGIR, pp.23-30, 1999.

D. M. Pennock, E. Horvitz, S. Lawrence, and C. L. Giles, Collaborative filtering by personality diagnosis: A hybrid memory-and model-based approach, Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence, pp.473-480, 2000.

N. Wang, M. H. Abel, J. P. Barthes, and E. Negre, Towards a Recommender System from Semantic Traces for Decision Aid, Proceedings of the International Conference on Knowledge Management and Information Sharing, 2014.
DOI : 10.5220/0005133502740279
URL : https://hal.archives-ouvertes.fr/hal-01130026

M. Ghazanfar and P. Adam, An Improved Switching Hybrid Recommender System Using Naive Bayes Classifier and Collaborative Filtering, 2010.

A. I. Schein, A. Popescul, L. H. Ungar, and D. M. Pennock, Methods and metrics for cold-start recommendations, Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '02, pp.253-260, 2002.
DOI : 10.1145/564376.564421

P. Melville, R. J. Mooney, and R. Nagarajan, Content-boosted collaborative filtering for improved recommendations, AAAI/IAAI, pp.187-192, 2002.

Q. Li, M. H. Abel, and J. P. , Barthè sFacilitating Experience Sharing Groups-Collaborative Trace Reuse and Exploitation, International Conference on Knowledge Management and Information Sharing, pp.21-30, 2012.

G. Antoniou and F. Van-harmelen, A semantic web primer, 2004.

A. Molina and M. Flores, A virtual enterprise in Mexico: From concepts to practice, Journal of Intelligent and Robotic Systems, vol.26, issue.3/4, pp.289-302, 1999.
DOI : 10.1023/A:1008180621733

E. Müller, Production planning and operation in competence-cell-based networks, Production Planning & Control, vol.91, issue.2, pp.99-112, 2006.
DOI : 10.1080/09537280500223863

X. Boucher, S. Peillon, and P. Burlat, Towards a decision support for a collaborative increase of competencies within networks of firms Ecole de Mines de Saint-Etienne, pp.600-609, 2005.

R. J. Mooney and L. Roy, Content-based book recommending using learning for text categorization, Proceedings of the fifth ACM conference on Digital libraries , DL '00, pp.195-204, 2000.
DOI : 10.1145/336597.336662

M. H. Abel, B. Ahcene, L. Dominique, and M. Claude, E-MEMORAe: A Content-Oriented Environment for E-Learning, E-Learning Networked Environments and Architectures, pp.186-205, 2007.
DOI : 10.1007/978-1-84628-758-9_7