ACS Applied Computer Science

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The objective of this research is to describe a system to aligned the hard and soft skills of the applicant to the current labor market. For this, a system was implemented which uses Web Scraping to get a general profile of an area, meanwhile for the evaluation of the applicant soft skills is used a Test Cleaver and for the hard skills fuzzy inference system is implemented. Therefore, the data is entered into an Analytic Hierarchy Process, with this, the applier is able to see which area is better to improve according to the hard and soft skills.

  • APA 6th style
Flores-Hernández, I., Bonilla-Huerta, E., Quintero-Flores, P. M., Ponce, O. A., & Hernández-Hernández, J. C. (2019). Applying intelligent techniques for talent recruitment. Applied Computer Science, 15(2), 63-72. doi:10.23743/acs-2019-14
  • Chicago style
Flores-Hernández, Isaac, Edmundo Bonilla-Huerta, Perfecto Malaquías Quintero-Flores, Oscar Atriano Ponce, and José Crispín Hernández-Hernández. "Applying Intelligent Techniques for Talent Recruitment." Applied Computer Science 15, no. 2 (2019): 63-72.
  • IEEE style
I. Flores-Hernández, E. Bonilla-Huerta, P. M. Quintero-Flores, O. A. Ponce, and J. C. Hernández-Hernández, "Applying intelligent techniques for talent recruitment," Applied Computer Science, vol. 15, no. 2, pp. 63-72, 2019, doi: 10.23743/acs-2019-14.
  • Vancouver style
Flores-Hernández I, Bonilla-Huerta E, Quintero-Flores PM, Ponce OA, Hernández-Hernández JC. Applying intelligent techniques for talent recruitment. Applied Computer Science. 2019;15(2):63-72.