A Multi-Objective E-learning Recommender ...
Document type :
Article dans une revue scientifique
DOI :
Title :
A Multi-Objective E-learning Recommender System at Mandarine Academy *
Author(s) :
Hoos, Holger [Auteur]
Leiden Institute of Advanced Computer Science [Leiden] [LIACS]
Jourdan, Laetitia [Auteur]
Operational Research, Knowledge And Data [ORKAD]
Kessaci, Marie‐eléonore [Auteur]
Operational Research, Knowledge And Data [ORKAD]
Stützle, Thomas [Auteur]
Institut de Recherches interdisciplinaires et de Développements en Intelligence Artificielle [Bruxelles] [IRIDIA]
Veerapen, Nadarajen [Auteur]
Operational Research, Knowledge And Data [ORKAD]
Leiden Institute of Advanced Computer Science [Leiden] [LIACS]
Jourdan, Laetitia [Auteur]

Operational Research, Knowledge And Data [ORKAD]
Kessaci, Marie‐eléonore [Auteur]
Operational Research, Knowledge And Data [ORKAD]
Stützle, Thomas [Auteur]
Institut de Recherches interdisciplinaires et de Développements en Intelligence Artificielle [Bruxelles] [IRIDIA]
Veerapen, Nadarajen [Auteur]
Operational Research, Knowledge And Data [ORKAD]
Journal title :
International Transactions in Operational Research
Pages :
2735-2736
Publisher :
Wiley
Publication date :
2022-09
ISSN :
0969-6016
English keyword(s) :
CCS Concepts: • Applied computing → Multi-criterion optimization and decision-making
E-learning
• Information systems → Retrieval models and ranking Recommender Systems
Multi-Objective Optimization
Evolutionary Algorithms
E-Learning
MOOC
Corporate
E-learning
• Information systems → Retrieval models and ranking Recommender Systems
Multi-Objective Optimization
Evolutionary Algorithms
E-Learning
MOOC
Corporate
HAL domain(s) :
Informatique [cs]/Recherche opérationnelle [cs.RO]
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
Source :