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“HNR” E-Recruitment web application with candidate interest prediction in Machine Learning

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dc.contributor.advisor
dc.contributor.author Vinod, Pushpanadan Gayan
dc.date.accessioned 2019-02-19T18:50:18Z
dc.date.available 2019-02-19T18:50:18Z
dc.date.issued 2018
dc.identifier.citation Vinod, P. A. (2018) HNR” E-Recruitment web application with candidate interest prediction in Machine Learning. BSc. Dissertation. Informatics Institute of Technology en_US
dc.identifier.other 2014091
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/134
dc.description.abstract E-Recruitment is a rapidly growing Hire and Recruitment process in the industry. Recruiters nowadays pay more attention to E-Recruitments as they save money and time. Stats and surveys suggest that despite already having a job, an employee is always interested in a new job opportunity and many are actively seeking new opportunities. Despite the advancements of E-Recruitments and new technologies, there is no proper platform to track if an employee is willing to leave the current job and join a new adventure. The proposed solution addresses this issue by implementing an E-Recruitment web application with candidate interest prediction in Machine Learning. The proposed solution would allow the recruiter to search talented candidates by search criteria and see if the candidates are interested in a new job opportunity. The user has the opportunity to search and filter job seeking candidates and contact them via an Email or phone. The proposed solution uses high level Machine Learning algorithms to get the desired predictions. en_US
dc.subject E-Recruitment en_US
dc.subject Machine Learning en_US
dc.title “HNR” E-Recruitment web application with candidate interest prediction in Machine Learning en_US
dc.type Thesis en_US


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