A NOVEL PROFILE’S SELECTION ALGORITHM USING AI

Print

ABSTRACT

In order to better understand the job requirements, recruitment processes, and hiring processes it is needed to know the people skills. For a recruiter this entails analyzing and comparing the curricula of each available candidate and determining the most appropriate candidate that the activities that are required by the position. This process must be carried in the shortest length of time possible. In this paper, an algorithm is proposed to identify those candidates, either workers or college graduates.

FULL TEXT

HOW TO CITE THIS PAPER

Bello, M., Luna, A., Bonilla, E., Hernandez, C., Pedroza, B., & Portilla, A. (2020). A novel profile’s selection algorithm using AI. Applied Computer Science, 16(1), 18-32. doi:10.23743/acs-2020-02
Bello, Mario, Alejandra Luna, Edmundo Bonilla, Crispin Hernandez, Blanca Pedroza, and Alberto Portilla. "A Novel Profile’s Selection Algorithm Using Ai." Applied Computer Science 16, no. 1 (2020): 18-32.
M. Bello, A. Luna, E. Bonilla, C. Hernandez, B. Pedroza, and A. Portilla, "A novel profile’s selection algorithm using AI," Applied Computer Science, vol. 16, no. 1, pp. 18-32, 2020, doi: 10.23743/acs-2020-02.
Adewuyi SA, Aina S, Oluwaranti AI. A deep learning model for electricity demand forecasting based on a tropical data. Applied Computer Science. 2020;16(1):5-17.