Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/70819
Title: Promentor - Data mining applied to job search
Authors: Rodríguez Rodríguez, José Carlos 
De Blasio , Gabriele Salvatore 
García Rodríguez, Carmelo Rubén 
Quesada Arencibia, Francisco Alexis 
UNESCO Clasification: 1203 Ciencia de los ordenadores
Keywords: Data mining
Job search
Employment website
Training
Issue Date: 2019
Publisher: Universidad de Las Palmas de Gran Canaria (ULPGC) 
Conference: International Conference on Computer Aided Systems Theory (EUROCAST 2019) 
Abstract: Promentor is a solution that advises jobseekers on how to effectively improve their chances of obtaining employment in a specific field by focusing on what, at least historically, seems to have produced the best results. First, Promentor analyses previous selection processes to quantitatively evaluate the value of the information provided by the candidates during the process. Promentor uses this evaluation to assess the value of the profile of the jobseeker who is requesting advice based on the information it contains. It then conducts a simulation by applying each suggestion to the profile and evaluating the results. In this way, it identifies which suggestions improve the profile the most. Promentor is a module on the GetaJob.es employment website, which was developed in parallel and equipped with specific capabilities for capturing the data that Promentor requires.
URI: http://hdl.handle.net/10553/70819
ISBN: 978-3-030-45096-0
Source: EUROCAST 2019. Computer Aided Systems Theory. Extended abstracts / Alexis Quesada-Arencibia; José Carlos Rodríguez; Roberto Moreno-Díaz; Roberto Moreno-Díaz jr.; Gabriel de Blasio; Carmelo Rubén García (eds.), p. 27-28
Appears in Collections:Actas de congresos
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