Autor: |
Jallal Talaghzi, Mostafa Bellafkih, Abdellah Bennane, Mohammed Majid Himmi, Mohammed Amraouy |
Rok vydání: |
2023 |
Předmět: |
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Zdroj: |
International Journal of Emerging Technologies in Learning (iJET). 18:53-70 |
ISSN: |
1863-0383 |
DOI: |
10.3991/ijet.v18i06.36987 |
Popis: |
In this paper, we propose learners course recommender system of the E-Dirassa platform. This system, which distinguishes between new and active learners, adopts three complementary recommendation approaches: content-based recommendation as well as course-based collaborative filtering for active learners, and static profile-based collaborative filtering for new learners. Let us also note the use of multi-criteria decision aid (MDA) techniques for the choice of the textual similarity measure to be used in the first approach of content-based recommendation. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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