Using machine learning to translate applicant work history into predictors of performance and turnover.
Abstract
Work history information reflected in resumes and job application forms is commonly used to screen job applicants; however, there is little consensus as to how to systematically translate information about one's work-related past into predictors of future work outcomes. In this article, we apply machine learning techniques to job application form data (including previous job descriptions and stated reasons for changing jobs) to develop...
Paper Details
Title
Using machine learning to translate applicant work history into predictors of performance and turnover.
Published Date
Oct 1, 2019
Volume
104
Issue
10
Pages
1207 - 1225
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