Resume Match System


Authors : Niti Khamker; Yuti Khamker; Mani Butwall

Volume/Issue : Volume 6 - 2021, Issue 5 - May

Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/34LAZk2

- Human Resource Management is seemingly supported by and given additional opportunities by the event of Job Characteristics Model (JCM) that successively is predicated on the conception of contemporary job style. luckily, the event in the fashionable data system, digital technologies, the universal access of electronic technology and, the internet led to the inclination of the worldwide Human Resource Management development and create the system additional applicable. Following the trend, the planned system tries to style a system for e-recruitment which can sanctuary new model of economical operation on Human Resource Management within the web Age. In this proposed system, we present a set of techniques that creates the entire enlisting method more practical and economical. This proposed system works on the concept of cosine similarity. We have got enforced a system that matches the candidate’s resume with the job description and as a result, shows the share of similarity. It displays the similarity results of the candidates to the recruiter, which helps recruiter to evaluates the best scored candidates.

Keywords : Machine-Learning, e-Recruitment, Python, Cosine Similarity, docx2txt, CountVertorizer, BoW

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