ACS Applied Computer Science

  • Increase font size
  • Default font size
  • Decrease font size


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.

  • APA 6th style
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
  • Chicago style
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.
  • IEEE style
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.
  • Vancouver style
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.