CareerMapper: An Automated Resume Evaluation Tool
Vivian Lai, Kyong Jin Shim, Richard J. Oentaryo, Philips K. Prasetyo,, Casey Vu, Ee-Peng Lim, David Lo
TL;DR
CareerMapper is an automated tool that evaluates LinkedIn profiles to help users improve their online resumes by providing tailored recommendations based on analysis of numerous profiles.
Contribution
It introduces an automated system for comprehensive LinkedIn profile review and personalized resume improvement suggestions.
Findings
Effective identification of resume deficiencies
Personalized recommendations improve resume quality
Automated analysis scales to large user profiles
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsWeb Data Mining and Analysis · Wikis in Education and Collaboration · Information Retrieval and Search Behavior