Lifelong learning courses recommendation system to improve professional skills using ontology and machine learning

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dc.contributor.authorUrdaneta Ponte, Maria Cora
dc.contributor.authorMéndez Zorrilla, Amaia
dc.contributor.authorOleagordia Ruiz, Ibon
dc.date.accessioned2025-08-14T10:18:01Z
dc.date.available2025-08-14T10:18:01Z
dc.date.issued2021-04-23
dc.date.updated2025-08-14T10:18:01Z
dc.description.abstractLifelong learning enables professionals to update their skills to face challenges in their changing work environments. In view of the wide range of courses on offer, it is important for professionals to have recommendation systems that can link them to suitable courses. Based on this premise and on our previous research, this paper proposes the use of ontology to model job sectors and areas of knowledge, and to represent professional skills that can be automatically updated using the profiled data and machine learning for clustering entities. A three‐stage hybrid system is proposed for the recommendation process: semantic filtering, content filtering and heuristics. The proposed system was evaluated with a set of more than 100 user profiles that were used in a previous version of the proposed recommendation system, which allowed the two systems to be compared. The proposed recommender showed 15% improvement when using ontology and clustering with DBSCAN in recall and serendipity metrics, and a six‐point increase in harmonic mean over the stored data‐based recommender system.en
dc.identifier.citationUrdaneta‐ponte, M. C., Méndez‐zorrilla, A., & Oleagordia‐ruiz, I. (2021). Lifelong learning courses recommendation system to improve professional skills using ontology and machine learning. Applied Sciences (Switzerland), 11(9). https://doi.org/10.3390/APP11093839
dc.identifier.doi10.3390/APP11093839
dc.identifier.eissn2076-3417
dc.identifier.urihttps://hdl.handle.net/20.500.14454/3362
dc.language.isoeng
dc.publisherMDPI AG
dc.rights© 2021 by the authors
dc.subject.otherHybrid system recommendation
dc.subject.otherLifelong learning courses
dc.subject.otherMachine learning
dc.subject.otherOntology
dc.titleLifelong learning courses recommendation system to improve professional skills using ontology and machine learningen
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.issue9
oaire.citation.titleApplied Sciences (Switzerland)
oaire.citation.volume11
oaire.licenseConditionhttps://creativecommons.org/licenses/by/4.0/
oaire.versionVoR
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