Incorporate Personality Trait with Support Vector Machine to Acquire Quality Matching of Personnel Recruitment
نویسندگان
چکیده
The advancement of information technology has changed people’s behaviors. Because of the ease and convenience in applying online jobs, there are numbers of curriculum vitae (CV) have been applied via internet. However, without any technological enhancement made on the process of filtering, the recruiting process can be difficult. In this research, we propose a method combined with the five-factor personality inventory with the support vector machine (SVM) to improve the quality of selecting a candidate for a position. We utilized online questionnaire personality testing developed by the International Personality Item Pool (IPIP) to identify candidates’ personal trait. SVM is then used to predict the candidates’ fitness for a placement. The results show a qualified matching according to the consultation with managers. Keyword: Five-factor personality inventory, Support Vector Machine, personal trait, candidate matching
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