Ontology-Based Personalized Job Recommendation Framework for Migrants and Refugees

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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Bibliographic Details
Main Authors: Dimos Ntioudis, Panagiota Masa, Anastasios Karakostas, Georgios Meditskos, Stefanos Vrochidis, Ioannis Kompatsiaris
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Big Data and Cognitive Computing
Subjects:
recommendation systems
job matching
ontologies
reasoning
migrants
refugees
Online Access:https://www.mdpi.com/2504-2289/6/4/120

Internet

https://www.mdpi.com/2504-2289/6/4/120

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