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Intelligent digital learning : Agent-based recommender system

Brigui, Imene; Caillou, Philippe; Negre, Elsa (2017), Intelligent digital learning : Agent-based recommender system, 9th International Conference on Machine Learning and Computing (ICMLC 2017), 2017, New York, NY

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icmlc17.pdf (475.2Kb)
Type
Communication / Conférence
External document link
https://hal.inria.fr/hal-01680527
Date
2017
Conference title
9th International Conference on Machine Learning and Computing (ICMLC 2017)
Conference date
2017
Conference city
New York, NY
Publisher
ACM - Association for Computing Machinery
Published in
New York, NY
ISBN
978-1-4503-4817-1
Publication identifier
10.1145/3055635.3056592
Metadata
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Author(s)
Brigui, Imene
Caillou, Philippe
Negre, Elsa
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.
Subjects / Keywords
Recommender systems; multiagent systems; digital learning

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