A Bibliometric Perspective on AI Research for Job-Résumé Matching

• Published in: TheScientificWorld Vol. 2022; pp. 1 - 15
• Main Authors: Rojas-Galeano, Sergio, Posada, Jorge, Ordoñez, Esteban
• Format: Journal Article
• Language: English
• Published: Cairo Hindawi 2022; John Wiley & Sons, Inc; Wiley
• Subjects: Algorithms; Authorship; Bibliographic records; Bibliometrics; Business metrics; Citation management software; Classification; Collaboration; Computational linguistics; Data mining; Datasets; Deep learning; Employment; Evolution; Human performance; Information retrieval; Job descriptions; Job openings; Language processing; Literature reviews; Machine learning; Matching; Metadata; Natural language interfaces; Natural language processing; Neural networks; Ontology; Personnel selection; Recommender systems; Recruitment; Review; Skills; Trends

The search for the right person for the right job, or in other words the selection of the candidate who best reflects the skills demanded by employers to perform a specific set of duties in a job appointment, is a key premise of the personnel selection pipeline of recruitment departments. This task...