Building a qualitative recruitment system via SVM with MCDM approach.

Autor:	Yung-Ming Li, Cheng-Yang Lai, Chien-Pang Kao
Předmět:	INFORMATION technology SUPPORT vector machines MULTIPLE criteria decision making PERSONALITY tests JOB resumes INTERNET
Zdroj:	Applied Intelligence; Aug2011, Vol. 35 Issue 1, p75-88, 14p
Abstrakt:	dvances in information technology have led to behavioral changes in people and submission of curriculum vitae (CV) via the Internet has become an often-seen phenomenon. Without any technological support for the filtering process, recruitment can be difficult. In this research, a method combining five-factor personality inventory, support vector machine (SVM), and multi-criteria decision-making (MCDM) method was proposed to improve the quality of recruiting appropriate candidates. The online questionnaire personality testing developed by the International Personality Item Pool (IPIP) was utilized to identify the personal traits of candidates and both SVM and MCDM were employed to predict and support the decision of personnel choice. SVM was utilized to predict the fitness of candidates, while MCDM was employed to estimate the performance for a job placement. The results show the proposed system provides a qualified matching according to the results collected from enterprise managers. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
Externí odkaz:	Zobrazit plný text záznamu Full text from SpringerLink