Conference Proceeding Article
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.
Job, LinkedIn, recommendation, resume, Candidate selection, Evaluation tool
Data Management and Analytics; Software and Cyber-Physical Systems
BigData 2016: Proceedings of the 4th IEEE International Conference on Big Data: Washington DC, December 5-8, 2016
City or Country
LAI, Vivian; SHIM, Kyong Jin; OENTARYO, Richard Jayadi; PRASETYO, Philips Kokoh; VU, Casey; Ee-peng LIM; and David LO.
CareerMapper: An automated resume evaluation tool. (2016). BigData 2016: Proceedings of the 4th IEEE International Conference on Big Data: Washington DC, December 5-8, 2016. 4005-4007. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/3553
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