Published November 29, 2022 | Version v1
Conference paper Open

Analysis of methods and existing software implementations for automatic resume generation

Creators

  • 1. Vasyl Stefanyk Precarpathian National University

Description

This research is intended for evaluation and analysis of existing programs that allow to automatically generate a resume based on the data entered by the user for subsequent submission as a response to a vacancy. Criteria will be formed that will check the program for compliance with standards of use and convenience for evaluation in the research.

Notes

V. Ivanochko, "Analysis of methods and existing software implementations for automatic resume generation," 2022 International Conference on Innovative Solutions in Software Engineering (ICISSE), Vasyl Stefanyk Precarpathian National University, Ivano-Frankivsk, Ukraine, Nov. 29-30, 2022, pp. 298-305, doi: 10.5281/zenodo.8419004

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Additional details

References

  • S.M. Dias, A.L. Gancarski and P.R. Henriques, "Automatic Generation of CVs from Online Social Networks," Communications in Computer and Information Science, vol. 563, pp 258–263, 2015, doi: 10.1007/978-3-319-27653-3_25
  • E. J. Gonzalez et al., "Intelligent Agents and Apache Cocoon for a CV Generation System," 2007 IEEE/ACS International Conference on Computer Systems and Applications, 2007, pp. 9-15, doi: 10.1109/AICCSA.2007.370858
  • Resume.io. (2022). [Online]. Available: https://resume.io
  • Cvmaker. (2022). [Online]. Available: https://www.cvmaker.com.ua
  • LinkedIn. (2022). [Online]. Available: https://www.linkedin.com