Ontology-Based User Competencies Modeling for E-Learning Recommender Systems - Archive ouverte HAL Accéder directement au contenu
Chapitre D'ouvrage Année : 2009

Ontology-Based User Competencies Modeling for E-Learning Recommender Systems

Résumé

Inside the e-learning platforms, it is important to be managed the user competencies profile and to recommend to each user the most suitable documents and persons, according to his acquired knowledge, to his long-term interests, but also according to his very current goals. We explore a semantic Web-based modeling approach for the document annotations and user competencies profile development, based on the same domain ontology set. The ontologies constitute the binder between the materials and users. For the user profile development and for the personalized recommendations facilities, our solution propose a hybrid recommender approach: first the user navigation inside the ontology is monitored (instead of user navigation inside the e-learning platform) and the next concept of interest is recommended through a collaborative filtering method; then a content-based recommendation of documents is provided to the user, according the selected concept and his competencies profile. In both phases, a variant of the nearest neighbor algorithm is applied.
Fichier non déposé

Dates et versions

hal-03771541 , version 1 (07-09-2022)

Identifiants

  • HAL Id : hal-03771541 , version 1

Citer

Mihaela Brut, Florence Sèdes, Corinne Amel Zayani. Ontology-Based User Competencies Modeling for E-Learning Recommender Systems. Chevalier, Max; Julien, Christine; Soulé-Dupuy, Chantal. Collaborative and Social Information Retrieval and Access: Techniques for Improved User Modeling, Chapter 6, IGI Global, pp.119-138, 2009, 978-1605663067. ⟨hal-03771541⟩
20 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More