Survey on Efficient and Automated Online Recruitment System

Authors

  • Aniket Jadhav  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan Savitribai Phule Pune University, Pune, Maharashtra, India
  • Harsh Bhatia  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan Savitribai Phule Pune University, Pune, Maharashtra, India
  • Saish Wadkar  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan Savitribai Phule Pune University, Pune, Maharashtra, India
  • Vinod Tak  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan Savitribai Phule Pune University, Pune, Maharashtra, India
  • Dr. Pankaj Agarkar  HOD, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan Savitribai Phule Pune University, Pune, Maharashtra, India

Keywords:

CV/Resume Ranking, Job Recommendation, Back Propagation Algorithm, Personality Prediction, Neural Network, Machine Learning, Organisation Specific

Abstract

The problem with interviewing and selection of graduated and graduating candidates along with experience candidates is to occupy right job according to their skills and qualifications. And this is the major challenge faced by recruitment team. To overcome this problem, our team accepted this challenge and has purposed a new system, named as – Efficient and Automated Online Recruitment System. This system will make fair decisions on CV / Resume analysis and it will also provide Job Recommendation for shortlisted candidates to HR (Human Resource) department.

References

  1. Rayland E.K and Rosen B “Personnel Professionals Reactions to Chronological and Functional Résumé Formats”, 1987
  2. Malamitsa, Kokkotas, and Kasoctas, “Graph/Chart Interpretation and Reading Comprehension as Critical Thinking Skills”, 2008
  3. Kleinbaum and Klein - “Analysis of matched data using Logistic Regression”, 2010
  4. Callum and Nigam - “A comparison of event models for Naive Bayes text classification”, 1998
  5. F Evanthia and T Athanasios - “An integrated Recruitment System for automated personality mining and Applicant ranking”, 2012
  6. L D. van der and Nijenhuis - “The General Factor of Personality: A meta-analysis of Big Five intercorrelations and a criterion-related validity study”, 2010
  7. F. Safia and N Asha - “the Impact of Person Organization Fit on Job Satisfaction and Performance of the Employees”, 2004
  8. I Ilke and W Peter - “Personality and Job Engagement”, 2011
  9. D Tantam - “The machine as psychotherapist: impersonal communication with a machine”, 2017
  10. Crist´obal Romero - “Educational Data Mining: A Review of the State of the Art”, 2010
  11. Barrick, M. R., and Mount, “The Big Five personality dimensions and job performance: A Meta analysis”1991
  12. Ree, M. J, and Earles “Intelligence is the best predictor of job performance”, 1992
  13. Schmidt, F. L, and Hunter - “Employment testing: Old theories and new research findings”, 1981
  14. Shen, Brdiczka, and O Liu “Understanding Email Writers: Personality Prediction from Email Messages”, 2013

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Published

2019-10-30

Issue

Section

Research Articles

How to Cite

[1]
Aniket Jadhav, Harsh Bhatia, Saish Wadkar, Vinod Tak, Dr. Pankaj Agarkar, " Survey on Efficient and Automated Online Recruitment System, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 8, pp.13-17, September-October-2019.