Combined E-Learning Course Recommender System

Autor: Jallal Talaghzi, Mostafa Bellafkih, Abdellah Bennane, Mohammed Majid Himmi, Mohammed Amraouy
Rok vydání: 2023
Předmět:
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