Based on the application of AI technology in resume analysis and job recommendation
Yi-Chi Chou, Han-Yen Yu
Abstract
This study adopted machine learning- and text mining technology-based artificial intelligence and current big data technology to analyze the trendiness of online discussion. Developing a system that can be applied in large job fairs, where numerous job applicants seek to match with the maximum of job vacancies provided by companies possible. The developed system conducts personal competitiveness analysis, personality trait analysis, and gives job vacancy recommendations according to the electronic resumes job applicants submit. In addition, the system generates a talent recommendation list for the companies. The experimental results verified that the job vacancies recommended by the developed system desirably met job applicants’ expectation.