Automatic Profiling System for Ranking Candidates Answers in Human Resources - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Conference Papers Year : 2008

Automatic Profiling System for Ranking Candidates Answers in Human Resources

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.

Dates and versions

lirmm-00346228 , version 1 (11-12-2008)

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Cite

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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