A Framework for e-Recruitment Recommender Systems
Tipo
Artigo de evento
Data de publicação
2020
Periódico
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Citações (Scopus)
1
Autores
Freire M.N.
Castro L.N.
Castro L.N.
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Resumo
© 2020, Springer Nature Switzerland AG.e-Recruitment Recommender Systems have been attracting attention over the last few years. It is an economically relevant field and can potentially revolutionize how organizations execute talent search and acquisition. This paper briefly discusses the e-Recruitment problem and presents a framework together with three recommendation models aiming to overcome the particular challenges presented in this field.