Abstract—Internet has become the primary source of
information, that's why data sources double each year and users
are faced with a large number of irrelevant answers returned by
classical information retrieval tools.
During the last ten years, recommendation systems have
emerged as an effective means to reduce the complexity in the
search for information, these recommendation systems are based
on the learner profile.
The learner profile is an important concept in the field of
learning. Effective management of the learner profile is a good
condition for better resource referral services.
The objective of our research is to develop a recommendation
system by classifying learners by their behavior to provide them
with resources according to their needs.
Index Terms—Intelligent tutoring systems, learning model,
multi-agent system, recommendation system.
Rtili Mohammed Kamal is with the LIROSA lab, Abdelmalek Essaadi
University, Faculty of Sciences, av jbel oukaimden, res chaouen 4 N° 3,
Tetouan, Morocco (e-mail: Rtili.kamal@gmail.com).
Dahmani Ali are with the LIROSA lab, Abdelmalek Essaadi University,
Faculty of Sciences, B.P.2121, Mhanech II, Tetouan, Morocco (e-mail:
alidahmani@hotmail.com, medkhaldi@yahoo.fr).
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Cite:Mohammed Kamal Rtili, Ali Dahmani, and Mohamed Khaldi, "Recommendation System Based on the Learners' Tracks in an Intelligent Tutoring System," Journal of Advances in Computer Networks vol. 2, no. 1, pp. 40-43, 2014.
