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Social Collaborative Filtering Approach for Recommending Courses in an E-learning Platform

Abstract : In recent years, learning online using the e-learning platforms becomes indispensable in the teaching process. Companies and scientific researchers try to find new optimal methods and approaches that can improve education online. In this paper, we propose a new recommendation approach for recommending relevant courses to learners. Our method is based on social filtering and collaborative filtering for defining the best way in which the learner must learn, and recommend courses which better much the learner's profile and social content.
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https://hal.archives-ouvertes.fr/hal-02468569
Contributor : Francoise Sailhan <>
Submitted on : Wednesday, April 1, 2020 - 1:25:10 PM
Last modification on : Thursday, January 28, 2021 - 4:56:51 PM

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Youness Madani, Mohammed Erritali, Jamaa Bengourram, Francoise Sailhan. Social Collaborative Filtering Approach for Recommending Courses in an E-learning Platform. International conference on Ambient Systems, Networks and Technologies (ANT), Apr 2019, leuven, Belgium. pp.1164-1169, ⟨10.1016/j.procs.2019.04.166⟩. ⟨hal-02468569⟩

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