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.
Type de document :
Communication dans un congrès
QSI'08: Quantitative Semantic Methods for the Internet - OTM'2008 Workshops, Nov 2008, Monterrey, Mexico. LNCS (5333), pp.625-634, 2008, On the Move to Meaningful Internet Systems: OTM 2008 Workshops. 〈10.1007/978-3-540-88875-8_86〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00346228
Contributeur : Nicolas Béchet <>
Soumis le : jeudi 11 décembre 2008 - 11:38:45
Dernière modification le : jeudi 11 janvier 2018 - 06:26:53

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Rémy Kessler, Nicolas Béchet, Mathieu Roche, Marc El Bèze, Torres-Moreno Juan-Manuel. 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. LNCS (5333), pp.625-634, 2008, On the Move to Meaningful Internet Systems: OTM 2008 Workshops. 〈10.1007/978-3-540-88875-8_86〉. 〈lirmm-00346228〉

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