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dc.contributor.authorBrigui, Imene
dc.contributor.authorCaillou, Philippe
HAL ID: 5485
dc.contributor.authorNegre, Elsa
dc.date.accessioned2018-03-12T10:37:00Z
dc.date.available2018-03-12T10:37:00Z
dc.date.issued2017
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/17541
dc.language.isoenen
dc.subjectRecommender systems
dc.subjectmultiagent systems
dc.subjectdigital learning
dc.subject.ddc006.3en
dc.titleIntelligent digital learning : Agent-based recommender system
dc.typeCommunication / Conférence
dc.contributor.editoruniversityotherEMLYON Business School
dc.description.abstractenIn 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.
dc.relation.ispartofpublnameACM - Association for Computing Machinery
dc.relation.ispartofpublcityNew York, NY
dc.identifier.urlsitehttps://hal.inria.fr/hal-01680527
dc.subject.ddclabelIntelligence artificielleen
dc.relation.ispartofisbn978-1-4503-4817-1
dc.relation.conftitle9th International Conference on Machine Learning and Computing (ICMLC 2017)
dc.relation.confdate2017
dc.relation.confcityNew York, NY
dc.relation.forthcomingnonen
dc.identifier.doi10.1145/3055635.3056592
dc.description.ssrncandidatenon
dc.description.halcandidateoui
dc.description.readershiprecherche
dc.description.audienceInternational
dc.date.updated2020-06-05T14:51:46Z
hal.faultCode{"duplicate-entry":{"hal-01680527":{"doi":"1.0"}}}


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