Paper Title :Resume Ranking and Performance Appraisal using Predictive Mining and Machine Learning: Talent Management System
Author :Apoorva Srivastava, Sukriti Bhardwaj, Sanjiv Kumar Tomar
Article Citation :Apoorva Srivastava ,Sukriti Bhardwaj ,Sanjiv Kumar Tomar ,
(2018 ) " Resume Ranking and Performance Appraisal using Predictive Mining and Machine Learning: Talent Management System " ,
International Journal of Management and Applied Science (IJMAS) ,
pp. 80-84,
Volume-4,Issue-6
Abstract : The aim of this paper is to provide an automated system for talent acquisition and management. With increasing
pressure of final selection amongst the applicants and trainees, it becomes a difficult task to assess the possible candidates
using manual procedure of keeping track of their qualities. Thus, the motivation is to make this work automated and to
provide a second opinion for better selection process. Moreover, the productivity and profitability of an organization depends
upon the performance of the employees. In order to stand out of the crowd one needs to be competent and aware of the
various upcoming technologies. This requires that the employer can differentiate between the aspirants on the basis of their
capabilities and traits that the company requires as well as provide appropriate skills to the current employees for their
overall development and growth.To make this process automated and hence efficient and easy to interpret graphical
representation is the best tool that can be used.
Keywords - Predictive Mining, Resume ranking, Personality Analysis, Performance Appraisal, TMS, Employee
performance, Graphical Representation of Recruitment
Type : Research paper
Published : Volume-4,Issue-6
DOIONLINE NO - IJMAS-IRAJ-DOIONLINE-12782
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Copyright: © Institute of Research and Journals
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Published on 2018-08-23 |
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