Difference between revisions of "Automated Resume Screening for Job Applications"

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'''Automated Resume Screening (ATS)''' refers to the use of [[Wikipedia:  Machine Learning|machine learning]] [[Wikipedia:  Algorithms|algorithms]] to parse and extract information from applicant [[Wikipedia:  Resume|resumes]]. Different algorithms are used to identify relevant skills and experience for the job from the applicant's resume using keywords from the job description and requirements.
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'''Automated Resume Screening''' refers to the use of [[Wikipedia:  Machine Learning|machine learning]] [[Wikipedia:  Algorithms|algorithms]] to parse and extract information from applicant [[Wikipedia:  Resume|resumes]]. Different algorithms are used to identify relevant skills and experience for the job from the applicant's resume using keywords in the job description and requirements.
  
 
==<big> History </big>==
 
==<big> History </big>==
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==<big> Use of Automated Resume Screening in Job Applications </big>==
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==<big> Ethical Implications </big>==
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===Gender Bias===
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===Ethnic Bias===
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===Circumstantial Bias===
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==<big> Reducing Bias </big>==
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==<big> References </big>==

Latest revision as of 21:26, 27 January 2022

Automated Resume Screening refers to the use of machine learning algorithms to parse and extract information from applicant resumes. Different algorithms are used to identify relevant skills and experience for the job from the applicant's resume using keywords in the job description and requirements.

History

Use of Automated Resume Screening in Job Applications

Ethical Implications

Gender Bias

Ethnic Bias

Circumstantial Bias

Reducing Bias

References