Title: Building a qualitative recruitment system via SVM with MCDM approach
Authors: Li, Yung-Ming
Lai, Cheng-Yang
Kao, Chien-Pang
資訊管理與財務金融系 註:原資管所+財金所
Department of Information Management and Finance
Keywords: Support vector machine;TOPSIS;Five-factor personality inventory;Candidate recruiting;Personality trait
Issue Date: 1-Aug-2011
Abstract: Advances 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.
URI: http://dx.doi.org/10.1007/s10489-009-0204-9
http://hdl.handle.net/11536/21294
ISSN: 0924-669X
DOI: 10.1007/s10489-009-0204-9
Journal: APPLIED INTELLIGENCE
Volume: 35
Issue: 1
Begin Page: 75
End Page: 88
Appears in Collections:Articles


Files in This Item:

  1. 000291738400006.pdf