APPLYING INTELLIGENT TECHNIQUES FOR TALENT RECRUITMENT
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Published:
Jun 30, 2019
Issue Vol. 15 No. 2 (2019)
Articles
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IMPLEMENTING THE FADE-IN AUDIO EFFECT FOR REAL-TIME COMPUTING
5-18
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OPTIMIZATION OF FINGERPRINT SIZE FOR REGISTRATION
19-30
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NUMERICAL SIMULATIONS OF SANDWICH STRUCTURES UNDER LATERAL COMPRESSION
31-41
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A NOVEL APPROACH TO ENHANCE THE PERFORMANCE OF MOBILE AD HOC NETWORK (MANET) THROUGH A NEW BANDWIDTH OPTIMIZATION TECHNIQUE
42-52
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APPLYING ARDUINO FOR CONTROLLING CAR PARKING SYSTEM
53-62
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APPLYING INTELLIGENT TECHNIQUES FOR TALENT RECRUITMENT
63-72
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APPLICATION OF DATA MINING TECHNIQUES TO FIND RELATIONSHIPS BETWEEN THE DISHES OFFERED BY A RESTAURANT FOR THE ELABORATION OF COMBOS BASED ON THE PREFERENCES OF THE DINERS
73-88
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DETERMINATION OF RELATIVE LENGTHS OF BONE SEGMENTS OF THE DOMESTIC CAT'S LIMBS BASED ON THE DIGITAL IMAGE ANALYSIS
89-97
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Abstract
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.
Keywords:
Fuzzy logic, Web scraping, Personnel Selection, AHP
Article Details
FLORES-HERNÁNDEZ, I., BONILLA-HUERTA, E., MALAQUIAS QUINTERO-FLORES, P., PONCE, O. A., & HERNÁNDEZ-HERNÁNDEZ, J. C. (2019). APPLYING INTELLIGENT TECHNIQUES FOR TALENT RECRUITMENT. Applied Computer Science, 15(2), 63–72. https://doi.org/10.23743/acs-2019-14
