research-article

Automated CV Analyzing and Ranking Tool to Select Candidates for Job Positions

Authors:

M. S. A. PeirisAuthors Info & Claims

ICIT '18: Proceedings of the 6th International Conference on Information Technology: IoT and Smart City

Pages 13 - 18

https://doi.org/10.1145/3301551.3301579

Published: 29 December 2018 Publication History

Get Access

Abstract

Processing of CVs to find a suitable candidate is a challenging task for many organisations. Most of the time identifying potential candidates for a job post is a time consuming and costly task for HR Divisions. Different CV s consists of information in a many formats. This research study extracts the information from the CV and ranks the CVs according to a given criteria to screen them out from the vast number of received applications in an organization. This research solution also recommends the most appropriate job category for an applicant according to his/ her CV information. At the same time the study creates candidate profiles using data from external professional web sources like Stack overflow, GitHub and Blogs. This research has basically designed for the domain of Information Technology related job postings such as Software Engineering, Quality Assurance etc. This system can rank the CVs according to various aspects presented in the CV, thus saving an enormous amount of time and effort that is required for manual scanning by the recruiters.

References

[1]

Joy O. Ekwoaba, Ndubuisi Ufoma, Ugochukwu. U. Ikeije 2015. "The Impact of Recruitment and Selection Criteria onOrganizational Performance," Global Journal of Human Resource Management.

Google Scholar

[2]

Saxena, Charul, 1999. "Enhancing Productivity of Recruitment Process Using Data mining & Text Mining Tools". Paper 324. S. Zhang, C. Zhu, J. K. O. Sin, and P. K. T. Mok, "A novel ultrathin elevated channel low-temperature poly-Si TFT," IEEE Electron Device Lett., vol. 20, pp. 569--571, Nov. 1999.

Crossref

Google Scholar

[3]

Kun Yu, Gang Guan, and Ming Zhou, 2005. "Résumé information extraction with cascaded hybrid model," In ACL '05: Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics, pages 499--506, Morristown, NJ, USA, 2005.

Digital Library

Google Scholar

[4]

Sumit Maheshwari, Abhishek Sainani, P. Krishna Reddy, 2010. "An Approach to Extract Special Skills to Improve the Performance of Résumé Selection," In Proceedings of DNIS.

Digital Library

Google Scholar

[5]

Evanthia Faliagka and Athanasios Tsakalidis "An integrated e-recruitment system for automated personality mining and applicant ranking "www.emeraldinsight.com/10662243.htm

Google Scholar

[6]

Evanthia Faliagka, Kostas Ramantas, and Athanasios Tsakalidis, "Application of Machine Learning Algorithms to an online Recruitment System," presented at the Internet and Web Applications and Services.

Google Scholar

Cited By

View all

Alkhammash E(2023)Semantic-based Job Recommendation Framework Using OWL Ontology2023 International Conference on IT Innovation and Knowledge Discovery (ITIKD)10.1109/ITIKD56332.2023.10099674(1-4)Online publication date: 8-Mar-2023
https://doi.org/10.1109/ITIKD56332.2023.10099674
Zehra SShakil AFatima MMunawwar MKhalil N(2022)Outlook 360 | A Practical Approach of Recruiting Talent Through Artificial Intelligence.2022 3rd International Conference on Innovations in Computer Science & Software Engineering (ICONICS)10.1109/ICONICS56716.2022.10100460(1-7)Online publication date: 14-Dec-2022
https://doi.org/10.1109/ICONICS56716.2022.10100460
Chire JApaza H(2020)Text Mining over Curriculum Vitae of Peruvian Professionals using Official Scientific Site DINA2020 International Computer Symposium (ICS)10.1109/ICS51289.2020.00030(105-109)Online publication date: Dec-2020
https://doi.org/10.1109/ICS51289.2020.00030

Index Terms

Automated CV Analyzing and Ranking Tool to Select Candidates for Job Positions
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Information extraction
2. Information systems
  1. Information systems applications
    1. Decision support systems
      1. Data analytics

Recommendations

Towards an Information Extraction System Based on Ontology to Match Resumes and Jobs
COMPSACW '13: Proceedings of the 2013 IEEE 37th Annual Computer Software and Applications Conference Workshops

While Internet takes up by far the most significant part of our daily lives, finding jobs/employees on the Internet has started to play a crucial role for job seekers and employers. Online recruitment websites and human resources consultancy and ...
A fuzzy logic and ontology-based approach for improving the CV and job offer matching in recruitment process

The recruitment process is a critical activity for every organisation, and it allows to find the appropriate candidate for a job offer and its employer work criteria. The competitive nature of the recruitment environment makes the task of hiring new ...
eScience professional positions in the job market: a content analysis of job advertisements
iConference '11: Proceedings of the 2011 iConference

We have observed the emerging needs of the new information professions in science and engineering disciplines, called "eScience Professionals." The purpose of this research is to analyze the job advertisements (ads) of eScience professionals as ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

ICIT '18: Proceedings of the 6th International Conference on Information Technology: IoT and Smart City

December 2018

344 pages

ISBN:9781450366298

DOI:10.1145/3301551

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

The Hong Kong Polytechnic: The Hong Kong Polytechnic University
TU: Tianjin University

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 December 2018

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

ICIT 2018

ICIT 2018: IoT and Smart City

December 29 - 31, 2018

Hong Kong, Hong Kong

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
480
Total Downloads

Downloads (Last 12 months)140
Downloads (Last 6 weeks)12

Reflects downloads up to 25 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Alkhammash E(2023)Semantic-based Job Recommendation Framework Using OWL Ontology2023 International Conference on IT Innovation and Knowledge Discovery (ITIKD)10.1109/ITIKD56332.2023.10099674(1-4)Online publication date: 8-Mar-2023
https://doi.org/10.1109/ITIKD56332.2023.10099674
Zehra SShakil AFatima MMunawwar MKhalil N(2022)Outlook 360 | A Practical Approach of Recruiting Talent Through Artificial Intelligence.2022 3rd International Conference on Innovations in Computer Science & Software Engineering (ICONICS)10.1109/ICONICS56716.2022.10100460(1-7)Online publication date: 14-Dec-2022
https://doi.org/10.1109/ICONICS56716.2022.10100460
Chire JApaza H(2020)Text Mining over Curriculum Vitae of Peruvian Professionals using Official Scientific Site DINA2020 International Computer Symposium (ICS)10.1109/ICS51289.2020.00030(105-109)Online publication date: Dec-2020
https://doi.org/10.1109/ICS51289.2020.00030

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Towards an Information Extraction System Based on Ontology to Match Resumes and Jobs

A fuzzy logic and ontology-based approach for improving the CV and job offer matching in recruitment process

eScience professional positions in the job market: a content analysis of job advertisements

Comments

Information

Published In

In-Cooperation

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations