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ResumeVis Interactive Visualization of Resumes Based on Multi-Source Data

Author

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  • Xiaohui Wang

    (University of Science and Technology, Beijing, China)

  • Jiaqi Zhang

    (University of Science and Technology, Beijing, China)

  • Kekuan Yao

    (University of Science and Technology, Beijing, China)

  • Jingyan Qin

    (University of Science and Technology, Beijing, China)

Abstract

Resumes are critical for individuals to find jobs and for HR to select staffs. To explore the career patterns and demographic information correlation, 372,829 Chinese resumes working in Beijing in 2015 are collected with rich attributes. Besides, 1,837,281 documents in the People's Daily from May 1946 to December 2015 and the national college entrance examination scores of 42 majors in 27 Beijing universities from 2005 to 2015 are collected to build the multi-source dataset to assist resume data mining. The decade characteristics and major characteristics are explored from the multi-source dataset. Based on the data observation, an interactive visualization system called ResumeVis is developed to explore career patterns in the context of the times, especially the correlations among the resume attributes. The system is helpful for both job seekers and human resources.

Suggested Citation

  • Xiaohui Wang & Jiaqi Zhang & Kekuan Yao & Jingyan Qin, 2021. "ResumeVis Interactive Visualization of Resumes Based on Multi-Source Data," International Journal of Web Services Research (IJWSR), IGI Global, vol. 18(2), pages 40-53, April.
    • Handle: RePEc:igg:jwsr00:v:18:y:2021:i:2:p:40-53
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