المجلة الجزائرية للعلوم
Volume 7, Numéro 14, Pages 89-94
2021-06-03
Personalized Recommender System For E-learning Environment Based On Student’s Preferences And Evaluation Of Teachers Peer
Authors : Sara Gasmi . Tahar Bouhadada .
Abstract
At the present time, new technologies and the rapid development of the Internet have made access to information easier for all class of people, but create new challenges for education when they use the Internet as a tool, which has created a need for new techniques to help users find their interest; these techniques are called Recommandations Systems (RSs). These systems will adapt the learning experience according to the goals of the individual learner. In this paper, we present a recommender e-learning approach which utilizes one of recommendation techniques to identifying preferences of learners and employing particle swarm optimization algorithm to find optimal scenario proposed by their teachers during the formation and the scenario which has high weight is recommended to another teacher during the conception of his scenario, taking into account the measure of similarity between these teachers.
Keywords
Recommandations systems, Collaborative filtering, particle swarm optimization, K-nearst neighbors.
Les articles similaires
Ibtissem Gasmi
.
Fouzia Anguel
.
Ramzi Khantouchi
.
pages 41-45.
Hadjhenni Mhamed
.
Dennouni Nassim
.
Slama Zohra
.
pages 07-16.
Merad Badr
.
Belkadi Khaled
.
Messous Abderrahmane
.
pages 17-22.
Boussouf Nedjla
.
Saadou Esma
.
pages 872-886.
Chabani Amina Yousra
.
Hammami Raid Imade Eddine
.
Barkat Mourad
.
pages 519-537.
