Survey on Resume Screening Mechanisms
|International Journal of Computer Science and Engineering|
|© 2022 by SSRG - IJCSE Journal|
|Volume 9 Issue 4|
|Year of Publication : 2022|
|Authors : Tumula Mani Harsha, Gangaraju Sai Moukthika, Dudipalli Siva Sai, Mannuru Naga Rajeswari Pravallika, Satish Anamalamudi|
How to Cite?
Tumula Mani Harsha, Gangaraju Sai Moukthika, Dudipalli Siva Sai, Mannuru Naga Rajeswari Pravallika, Satish Anamalamudi, "Survey on Resume Screening Mechanisms," SSRG International Journal of Computer Science and Engineering , vol. 9, no. 4, pp. 14-22, 2022. Crossref, https://doi.org/10.14445/23488387/IJCSE-V9I4P103
Resume Screening is the primary step in the hiring process. It evaluates the candidates' resumes and determines whether they are qualified for a role based on their education, skill sets, technical stuff, experience, and other information captured in their resume. To make it simple, it's a form of pattern that matches the job requirement and the candidate's qualifications based on their resume. It is a crucial step in the process of hiring. It is the step in which a decision is made to move the candidate to the next level or not. There are multiple processes to perform resume screening. Among all the processes, traditional resume or manual screening is the largest followed, even today. But usually, companies receive thousands of resumes for job applications, which consumes a lot of time and effort. In addition to this, many errors may arise due to human involvement. Multiple ways were introduced to cover all these cons to performing this resume screening process. Various technologies, including Artificial Intelligence and Machine Learning, were involved in searching for solutions. This paper contains a detailed survey report on various methodologies and techniques of resume screening.
Resume Screening, Artificial Intelligence, Machine Learning, Hiring.
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