ResumeVis: Interactive correlation explorer of resumes

Abstract

Resumes are critical for individuals to find jobs and for HR to select staffs. Almost all key events about career and demographic information are recorded on the resumes, which are commercial secrets. Too many valuable patterns can be explored from resumes. In this paper, we collect 372,829 Chinese resumes with complete attributes, such as income and Chinese ID number. Then a system called ResumeVis is developed to explore the correlations among the attributes. In the visualization system, we propose a new correlation representation – parallel coordinates with multi-valued attributes to adapt to the characteristics of resumes. Besides, user-friendly interactions, such as filter elements, reorder attributes, brushing and linking, are integrated to provide an easy-use interface. Lots of patterns and inspiring results can be found by using the system. Three case studies are illustrated as examples to validate the system usability. The system can be used as a recommendation system for job seekers and HRs.