Survey on Efficient and Automated Online Recruitment System

Authors(5) :-Aniket Jadhav, Harsh Bhatia, Saish Wadkar, Vinod Tak, Dr. Pankaj Agarkar

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.

Authors and Affiliations

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

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

  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

Publication Details

Published in : Volume 4 | Issue 8 | September-October 2019
Date of Publication : 2019-10-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 13-17
Manuscript Number : CSEIT19484
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Aniket Jadhav, Harsh Bhatia, Saish Wadkar, Vinod Tak, Dr. Pankaj Agarkar, "Survey on Efficient and Automated Online Recruitment System", International 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. |          | BibTeX | RIS | CSV

Article Preview