Enhancing gender equity in resume job matching via debiasing-assisted deep generative model and gender-weighted sampling
Our work aims to mitigate gender bias within word embeddings and investigates the effects of these adjustments on enhancing fairness in resume job-matching problems. By conducting a case study on resume data, we explore the prevalence of gender bias in job categorization—a significant barrier to equ...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-11-01
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| Series: | International Journal of Information Management Data Insights |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667096824000727 |
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