Publication Type

Conference Proceeding Article

Publication Date

12-2016

Abstract

The advent of the Web brought about major changes in the way people search for jobs and companies look for suitable candidates. As more employers and recruitment firms turn to the Web for job candidate search, an increasing number of people turn to the Web for uploading and creating their online resumes. Resumes are often the first source of information about candidates and also the first item of evaluation in candidate selection. Thus, it is imperative that resumes are complete, free of errors and well-organized. We present an automated resume evaluation tool called 'CareerMapper'. Our tool is designed to conduct a thorough review of a user's LinkedIn profile and provide best recommendations for improved online resumes by analyzing a large number of online user profiles.

Keywords

Job, LinkedIn, recommendation, resume, Candidate selection, Evaluation tool

Discipline

Software Engineering

Research Areas

Data Management and Analytics; Software and Cyber-Physical Systems

Publication

BigData 2016: Proceedings of the 4th IEEE International Conference on Big Data: Washington DC, December 5-8, 2016

First Page

4005

Last Page

4007

ISBN

9781467390057

Identifier

10.1109/BigData.2016.7841091

Publisher

IEEE

City or Country

Piscataway, NJ

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

http://doi.org/10.1109/BigData.2016.7841091

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