A Framework for e-Recruitment Recommender Systems
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Artigo de evento
Date
2020
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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1
Authors
Freire M.N.
Castro L.N.
Castro L.N.
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Abstract
© 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.