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AI-Powered Curricula Selection: A Neural Network Approach Suited for Small and Medium Companies

In: Exploring Innovation in a Digital World

Author

Listed:
  • Marco Marco

    (International Telematic University Uninettuno)

  • Paolo Fantozzi

    (Università di Roma “La Sapienza”)

  • Luigi Laura

    (International Telematic University Uninettuno)

  • Antonio Miloso

    (International Telematic University Uninettuno)

Abstract

AI and Big Data, in the last years, are changing the business in any aspect. In this paper we deal with the process of curricula selection for small and medium companies, i.e. the so-called last mile of the digitalization. This study proposes a new algorithm that could be integrated into the preliminary CVs screening process carried out by an interviewer in order to assess the right collocation to the skill set of the interviewee for the specific job position. The algorithm analyzes the text of a CV to correctly predict the right job position for the candidate. In particular, we show that with off-the-shelf components it is possible to train and run an artificial neural network suited to support HR in the process of curricula selection.

Suggested Citation

  • Marco Marco & Paolo Fantozzi & Luigi Laura & Antonio Miloso, 2021. "AI-Powered Curricula Selection: A Neural Network Approach Suited for Small and Medium Companies," Lecture Notes in Information Systems and Organization, in: Federica Ceci & Andrea Prencipe & Paolo Spagnoletti (ed.), Exploring Innovation in a Digital World, pages 11-20, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-87842-9_2
    DOI: 10.1007/978-3-030-87842-9_2
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