A hybrid approach to managing job offers and candidates

Abstract : The evolution of the job market has resulted in traditional methods of recruitment becoming insufficient. As it is now necessary to handle volumes of information (mostly in the form of free text) that are impossible to process manually, an analysis and assisted categorization are essential to address this issue. In this paper, we present a combination of the E-Gen and Cortex systems. E-Gen aims to perform analysis and categorization of job offers together with the responses given by the candidates. E-Gen system strategy is based on vectorial and probabilistic models to solve the problem of profiling applications according to a specific job offer. Cortex is a statistical automatic summarization system. In this work, E-Gen uses Cortex as a powerful filter to eliminate irrelevant information contained in candidate answers. Our main objective is to develop a system to assist a recruitment consultant and the results obtained by the proposed combination surpass those of E-Gen in standalone mode on this task.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00693181
Contributeur : Mathieu Roche <>
Soumis le : mercredi 2 mai 2012 - 10:26:16
Dernière modification le : vendredi 25 mai 2018 - 12:02:04

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Rémy Kessler, Nicolas Béchet, Mathieu Roche, Torres-Moreno Juan-Manuel, Marc El Bèze. A hybrid approach to managing job offers and candidates. Information Processing and Management, Elsevier, 2012, 48 (6), pp.1124-1135. 〈http://www.sciencedirect.com/science/article/pii/S0306457312000416〉. 〈10.1016/j.ipm.2012.03.002〉. 〈lirmm-00693181〉

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