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Automatic Profiling System for Ranking Candidates Answers in Human Resources

Rémy Kessler 1 Nicolas Béchet 2 Mathieu Roche 3, 2 Marc El Bèze 1 Juan-Manuel Torres-Moreno 1
1 LIA - Laboratoire Informatique d'Avignon
2 TEXTE - Exploration et exploitation de données textuelles
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
3 LRI - Laboratoire de Recherche en Informatique
Abstract : The exponential growth of Internet allowed the development of a market of online job search sites. This paper aims at presenting the E-Gen system (Automatic Job Offer Processing system for Human Resources). E-Gen will implement several complex tasks: an analysis and categorization of jobs offers which are unstructured text documents (e-mails of job offers possibly with an attached document), an analysis and a relevance ranking of the candidate answers. We present a strategy to resolve the last task: After a process of filtering and lemmatisation, we use vectorial representation and different similarity measures. The quality of ranking obtained is evaluated using ROC curves.
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Conference papers
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00346228
Contributor : Nicolas Béchet <>
Submitted on : Thursday, December 11, 2008 - 11:38:45 AM
Last modification on : Thursday, July 8, 2021 - 3:48:41 AM

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CNRS | UMR8623 | TEXTE | LIRMM | MIPS | UNIV-MONTPELLIER | UNIV-AVIGNON | LIA | EC-PARIS

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Rémy Kessler, Nicolas Béchet, Mathieu Roche, Marc El Bèze, Juan-Manuel Torres-Moreno. Automatic Profiling System for Ranking Candidates Answers in Human Resources. QSI'08: Quantitative Semantic Methods for the Internet - OTM'2008 Workshops, Nov 2008, Monterrey, Mexico. pp.625-634, ⟨10.1007/978-3-540-88875-8_86⟩. ⟨lirmm-00346228⟩

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