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Article

Lifelong Learning Courses Recommendation System to Improve Professional Skills Using Ontology and Machine Learning

eVIDA Research Group, Faculty of Engineering, University of Deusto, 48007 Bilbao, Spain
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Author to whom correspondence should be addressed.
Academic Editor: Carlos Alario-Hoyos
Appl. Sci. 2021, 11(9), 3839; https://doi.org/10.3390/app11093839
Received: 31 March 2021 / Revised: 17 April 2021 / Accepted: 19 April 2021 / Published: 23 April 2021
(This article belongs to the Special Issue Advanced Technologies in Lifelong Learning)
Lifelong 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. View Full-Text
Keywords: lifelong learning courses; ontology; machine learning; hybrid system recommendation lifelong learning courses; ontology; machine learning; hybrid system recommendation
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MDPI and ACS Style

Urdaneta-Ponte, M.C.; Méndez-Zorrilla, A.; Oleagordia-Ruiz, I. Lifelong Learning Courses Recommendation System to Improve Professional Skills Using Ontology and Machine Learning. Appl. Sci. 2021, 11, 3839. https://doi.org/10.3390/app11093839

AMA Style

Urdaneta-Ponte MC, Méndez-Zorrilla A, Oleagordia-Ruiz I. Lifelong Learning Courses Recommendation System to Improve Professional Skills Using Ontology and Machine Learning. Applied Sciences. 2021; 11(9):3839. https://doi.org/10.3390/app11093839

Chicago/Turabian Style

Urdaneta-Ponte, María C., Amaia Méndez-Zorrilla, and Ibon Oleagordia-Ruiz. 2021. "Lifelong Learning Courses Recommendation System to Improve Professional Skills Using Ontology and Machine Learning" Applied Sciences 11, no. 9: 3839. https://doi.org/10.3390/app11093839

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