Ontology-based personalized job recommendation framework for migrants and refugees

Participation in the labor market is seen as the most important factor favoring long-term integration of migrants and refugees into society. This paper describes the job recommendation framework of the Integration of Migrants MatchER SErvice (IMMERSE). The proposed framework acts as a matching tool...

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Autores: Ntioudis, Dimos|||0000-0003-4001-1225, Masa, Panagiota|||0000-0002-0231-4762, Karakostas, Anastasios|||0000-0002-8508-3903, Meditskos, Georgios|||0000-0003-4242-5245, Vrochidis, Stefanos|||0000-0002-2505-9178, Kompatsiaris, Ioannis|||0000-0001-6447-9020
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:268644
Acceso en línea:https://ddd.uab.cat/record/268644
https://dx.doi.org/urn:doi:10.3390/bdcc6040120
Access Level:acceso abierto
Palabra clave:Recommendation systems
Job matching
Ontologies
Reasoning
Migrants
Refugees
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spelling Ontology-based personalized job recommendation framework for migrants and refugeesNtioudis, Dimos|||0000-0003-4001-1225Masa, Panagiota|||0000-0002-0231-4762Karakostas, Anastasios|||0000-0002-8508-3903Meditskos, Georgios|||0000-0003-4242-5245Vrochidis, Stefanos|||0000-0002-2505-9178Kompatsiaris, Ioannis|||0000-0001-6447-9020Recommendation systemsJob matchingOntologiesReasoningMigrantsRefugeesParticipation in the labor market is seen as the most important factor favoring long-term integration of migrants and refugees into society. This paper describes the job recommendation framework of the Integration of Migrants MatchER SErvice (IMMERSE). The proposed framework acts as a matching tool that enables the contexts of individual migrants and refugees, including their expectations, languages, educational background, previous job experience and skills, to be captured in the ontology and facilitate their matching with the job opportunities available in their host country. Profile information and job listings are processed in real time in the back-end, and matches are revealed in the front-end. Moreover, the matching tool considers the activity of the users on the platform to provide recommendations based on the similarity among existing jobs that they already showed interest in and new jobs posted on the platform. Finally, the framework takes into account the location of the users to rank the results and only shows the most relevant location-based recommendations 22022-01-0120222022-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/268644https://dx.doi.org/urn:doi:10.3390/bdcc6040120reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengEuropean Commission https://doi.org/10.13039/501100000780 870939open accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:2686442026-06-06T12:50:31Z
dc.title.none.fl_str_mv Ontology-based personalized job recommendation framework for migrants and refugees
title Ontology-based personalized job recommendation framework for migrants and refugees
spellingShingle Ontology-based personalized job recommendation framework for migrants and refugees
Ntioudis, Dimos|||0000-0003-4001-1225
Recommendation systems
Job matching
Ontologies
Reasoning
Migrants
Refugees
title_short Ontology-based personalized job recommendation framework for migrants and refugees
title_full Ontology-based personalized job recommendation framework for migrants and refugees
title_fullStr Ontology-based personalized job recommendation framework for migrants and refugees
title_full_unstemmed Ontology-based personalized job recommendation framework for migrants and refugees
title_sort Ontology-based personalized job recommendation framework for migrants and refugees
dc.creator.none.fl_str_mv Ntioudis, Dimos|||0000-0003-4001-1225
Masa, Panagiota|||0000-0002-0231-4762
Karakostas, Anastasios|||0000-0002-8508-3903
Meditskos, Georgios|||0000-0003-4242-5245
Vrochidis, Stefanos|||0000-0002-2505-9178
Kompatsiaris, Ioannis|||0000-0001-6447-9020
author Ntioudis, Dimos|||0000-0003-4001-1225
author_facet Ntioudis, Dimos|||0000-0003-4001-1225
Masa, Panagiota|||0000-0002-0231-4762
Karakostas, Anastasios|||0000-0002-8508-3903
Meditskos, Georgios|||0000-0003-4242-5245
Vrochidis, Stefanos|||0000-0002-2505-9178
Kompatsiaris, Ioannis|||0000-0001-6447-9020
author_role author
author2 Masa, Panagiota|||0000-0002-0231-4762
Karakostas, Anastasios|||0000-0002-8508-3903
Meditskos, Georgios|||0000-0003-4242-5245
Vrochidis, Stefanos|||0000-0002-2505-9178
Kompatsiaris, Ioannis|||0000-0001-6447-9020
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Recommendation systems
Job matching
Ontologies
Reasoning
Migrants
Refugees
topic Recommendation systems
Job matching
Ontologies
Reasoning
Migrants
Refugees
description Participation in the labor market is seen as the most important factor favoring long-term integration of migrants and refugees into society. This paper describes the job recommendation framework of the Integration of Migrants MatchER SErvice (IMMERSE). The proposed framework acts as a matching tool that enables the contexts of individual migrants and refugees, including their expectations, languages, educational background, previous job experience and skills, to be captured in the ontology and facilitate their matching with the job opportunities available in their host country. Profile information and job listings are processed in real time in the back-end, and matches are revealed in the front-end. Moreover, the matching tool considers the activity of the users on the platform to provide recommendations based on the similarity among existing jobs that they already showed interest in and new jobs posted on the platform. Finally, the framework takes into account the location of the users to rank the results and only shows the most relevant location-based recommendations
publishDate 2022
dc.date.none.fl_str_mv 2
2022-01-01
2022
2022-01-01
dc.type.none.fl_str_mv Article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://ddd.uab.cat/record/268644
https://dx.doi.org/urn:doi:10.3390/bdcc6040120
url https://ddd.uab.cat/record/268644
https://dx.doi.org/urn:doi:10.3390/bdcc6040120
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv European Commission https://doi.org/10.13039/501100000780 870939
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Dipòsit Digital de Documents de la UAB
instname:Universitat Autònoma de Barcelona
instname_str Universitat Autònoma de Barcelona
reponame_str Dipòsit Digital de Documents de la UAB
collection Dipòsit Digital de Documents de la UAB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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