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Intelligent digital learning : Agent-based recommender system

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icmlc17.pdf (475.2Kb)
Date
2017
Link to item file
https://hal.inria.fr/hal-01680527
Dewey
Intelligence artificielle
Sujet
Recommender systems; multiagent systems; digital learning
DOI
http://dx.doi.org/10.1145/3055635.3056592
Conference name
9th International Conference on Machine Learning and Computing (ICMLC 2017)
Conference date
2017
Conference city
New York, NY
Publisher
ACM - Association for Computing Machinery
Publisher city
New York, NY
ISBN
978-1-4503-4817-1
URI
https://basepub.dauphine.fr/handle/123456789/17541
Collections
  • LAMSADE : Publications
Metadata
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Author
Brigui, Imene
Caillou, Philippe
Negre, Elsa
Type
Communication / Conférence
Abstract (EN)
In the context of intelligent digital learning, we propose an agent-based recommender system that aims to help learners overcome their gaps by suggesting relevant learning resources. The main idea is to provide them with appropriate support in order to make their learning experience more effective. To this end we design an agent-based cooperative system where autonomous agents are able to update recommendation data and to improve the recommender outcome on behalf of their past experiences in the learning platform.

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