Evaluating and mitigating gender bias in machine learning based resume filtering-Reference-Cited by-同舟云学术

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Evaluating and mitigating gender bias in machine learning based resume filtering

Published:2023-09-01 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Gagandeep ,Kaur Jaskirat,Mathur Sanket,Kaur Sukhpreet,Nayyar Anand,Singh Simar Preet,Mathur Sandeep

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-16552-x.pdf

Reference42 articles.

1. Lin Y, Lei H, Addo PC, Li X (2016) Machine learned resume-job matching solution. Computation and Language, ArXiv. https://doi.org/10.48550/arXiv.1607.07657

2. Howard JL, Ferris GR (1996) The employment interview context: social and situational influences on interviewer decisions 1. J Appl Soc Psychol 26(2):112–136

3. Zhang L, Fei W, Wang L (2015) Pj matching model of knowledge workers. Procedia Comput Sci 60:1128–1137

4. Breaugh JA (2009) The use of biodata for employee selection: past research and future directions. Hum Resour Manag Rev 19(3):219–231

5. Roy PK, Singh JP, Baabdullah AM, Kizgin H, Rana NP (2018) Identifying reputation collectors in community question answering (CQA) sites: exploring the dark side of social media. Int J Inf Manag 42:25–35

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