Learner Course Recommendation in e-Learning Based on Swarm Intelligence

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dc.creatorGil,Ana-Belén
dc.creatorGarcía-Peñalvo,Francisco
dc.date2008
dc.date.accessioned2024-02-06T12:56:57Z
dc.date.available2024-02-06T12:56:57Z
dc.descriptionThis paper analyses aspects about the recommendation process in distributed information systems. It extracts similarities and differences between recommendations in e-stores and the recommendations applied to an e-learning environment. It also explains the phenomena of self-organization and cooperative emergence in complex systems coupled with bio-inspired algorithms to improve knowledge discovery and association rules. Finally, the present recommendation is applied to e-learning by proposing recommendation by emergence in a Multi-Agent System architecture.
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dc.identifierhttps://doi.org/10.3217/jucs-014-16-2737
dc.identifierhttps://lib.jucs.org/article/29184/
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/9866
dc.languageen
dc.publisherJournal of Universal Computer Science
dc.relationinfo:eu-repo/semantics/altIdentifier/eissn/0948-6968
dc.relationinfo:eu-repo/semantics/altIdentifier/pissn/0948-695X
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsJ.UCS License
dc.sourceJUCS - Journal of Universal Computer Science 14(16): 2737-2755
dc.subjectrecommendation
dc.subjectE-learning
dc.subjectmulti-agent system
dc.subjectemergence
dc.subjectSwarm Intelligence
dc.titleLearner Course Recommendation in e-Learning Based on Swarm Intelligence
dc.typeResearch Article
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