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Improving measurement and prediction in personnel selection through the application of machine learning
Title
Improving measurement and prediction in personnel selection through the application of machine learning
Author
Tonidandel, Scott, Albritton, Betsy, Speer, Andrew, Guo, Feng
Date Created
2023
Subjects--Topical
Machine learning, Artificial intelligence
Description
Machine learning (ML) is being widely adopted by organizations to assist in selecting personnel, commonly by scoring narrative information or by eliminating the inefficiencies of human scoring. This combined article presents six such efforts from ...