Automatic Profiling System for Ranking Candidates Answers in Human Resources

  • Authors:
  • Rémy Kessler;Nicolas Béchet;Mathieu Roche;Marc El-Bèze;Juan Manuel Torres-Moreno

  • Affiliations:
  • LIA, Avignon cedex 9, France F-84911;LIRMM - UMR 5506, CNRS Univ. Montpellier 2, France;LIRMM - UMR 5506, CNRS Univ. Montpellier 2, France;LIA, Avignon cedex 9, France F-84911;LIA, Avignon cedex 9, France F-84911 and Département de génie informatique CP 6079 Succ. Centre Ville, École Polytechnique de Montréal, Montréal, Canada H3C 3A7

  • Venue:
  • OTM '08 Proceedings of the OTM Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems: 2008 Workshops: ADI, AWeSoMe, COMBEK, EI2N, IWSSA, MONET, OnToContent + QSI, ORM, PerSys, RDDS, SEMELS, and SWWS
  • Year:
  • 2008

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Abstract

The exponential growth of Internet allowed the development of a market of online job search sites. This work 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.