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VALIDATING EFFECTIVE RESUME BASED ON EMPLOYER’S INTEREST WITH RECOMMENDATION SYSTEM

Sivaramakrishnan, N and Subramaniyaswamy, V and Arunkumar, S and Soundaryarathna, P VALIDATING EFFECTIVE RESUME BASED ON EMPLOYER’S INTEREST WITH RECOMMENDATION SYSTEM. International Journal of Pure and Applied Mathematics, 2018, vol. 119, n. 12, pp. 13261-13272. [Journal article (Paginated)]

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English abstract

In current technological world, recruitment process of corporate has evolved to the greater extent. Both the candidates and the recruiters prefer resumes to be submitted as an e-document. Validating those resumes manually is not much flexible and effective and time saving. The team requires more man power to scrutinize the resumes of the candidates. The aim of our work is to help the recruiters to find the most appropriate resume that match all their requirements. The system allows the recruiter to post his/her requirement as query, and the system will recommend the relevant resume by calculating the similarity between the query and the resume using Vector Space Model (VSM).

Item type:	Journal article (Paginated)
Keywords:	recommender system, vector space model, term frequency, content based filtering, collaborative filtering
Subjects:	B. Information use and sociology of information B. Information use and sociology of information > BC. Information in society.
Depositing user:	Raster Daster
Date deposited:	02 Aug 2018 07:34
Last modified:	02 Aug 2018 07:34
URI:	http://hdl.handle.net/10760/33268

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