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Decision Support System for Online Recruitment

Abstract : In the past, potential candidates for a job offer were in physical locations that could be reached through the major media that were available at the time, often strongly rooted in their local geographic space. Today, digital media replaced those traditional channels, offering advertisers a broader geographic reach. However digital channels are more and more numerous, making it difficult to target candidates on the web. Existing decision support system on e-recruitment in the literature does not identify the desired profile from a job offer (C1), the relevance of a resume (C2) or the changing environment of recruitment (C3). Thereby, the objective of our research is to optimize the e-recruitment process by designing a decision support system capable of targeting potential candidates at a lower cost and that addresses the challenges (C1), (C2) and (C3).
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Contributor : Armelle Brun Connect in order to contact the contributor
Submitted on : Friday, January 28, 2022 - 11:57:06 AM
Last modification on : Sunday, January 30, 2022 - 3:27:03 AM
Long-term archiving on: : Friday, April 29, 2022 - 6:25:07 PM


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  • HAL Id : hal-03546770, version 1



Halima Ramdani, Davy Monticolo, Armelle Brun, Eric Bonjour. Decision Support System for Online Recruitment. ICIKS 2021 - Information and Knowledge Systems. Digital Technologies, Artificial intelligence and Decision Making, Jun 2021, Virtual, France. pp.43-51. ⟨hal-03546770⟩



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