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Published in:

Volume 7 Issue 6
June-2020
eISSN: 2349-5162

Unique Identifier

JETIR2006237

Page Number

1643-1647

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Title

Candidate Background Verification Using Machine Learning and Fuzzy Matching

ISSN

2349-5162

Cite This Article

"Candidate Background Verification Using Machine Learning and Fuzzy Matching", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.1643-1647, June-2020, Available :http://www.jetir.org/papers/JETIR2006237.pdf

Abstract

Recruiters usually spend less than a minute looking at each resume when deciding whether it’s worth continuing the recruitment process with the candidate. They focus on the keywords, and it is impossible to guarantee a fair process of candidate selection [5]. They have to go through thousands of resumes before deciding which candidate to select within a short time. Thus, making it nearly difficult to perform a thorough background check of the candidates. Recruiters may often encounter cases where candidates provide false information on their resume regarding their education, experience or even skills. The main scope of this paper is to introduce a data-driven approach to verify any candidate’s resume by using social media platforms automatically and give recruiters time to only examine promising candidates. Once, the candidate profile is validated, the ranking score is calculated. The score describes how well the candidate’s profile matches with the information retrieved from his/her social media accounts. For example, we check a candidate’s educational background, work experience and skills from LinkedIn. Later, this paper illustrates a prototype application which can increase the productivity of recruiters. This application shows how to improve the hiring process by giving an unbiased hiring decision support.

Key Words

web-scrapping, machine learning, data analysis, data management

Cite This Article

"Candidate Background Verification Using Machine Learning and Fuzzy Matching", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp1643-1647, June-2020, Available at : http://www.jetir.org/papers/JETIR2006237.pdf

Publication Details

Published Paper ID: JETIR2006237
Registration ID: 234308
Published In: Volume 7 | Issue 6 | Year June-2020
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.23815
Page No: 1643-1647
ISSN Number: 2349-5162

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Cite This Article

"Candidate Background Verification Using Machine Learning and Fuzzy Matching", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp1643-1647, June-2020, Available at : http://www.jetir.org/papers/JETIR2006237.pdf




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