Job Recruitment Analysis based on Xgboost Decision Tree

Authors

  • Jiawen Chen
  • Yiqi Chen
  • Yunyang Liao
  • Juanjuan Mu
  • Guowei Li
  • Juan Li

DOI:

https://doi.org/10.62051/ijsspa.v2n3.56

Keywords:

Xgboost Decision Tree, Job Application Analysis, Visualization, Word Cloud

Abstract

With the increasing number of college students, "the most difficult graduation season" is a topic of anxiety for many parents and children. Therefore, before looking for a job, Xgboost decision tree analysis of the position is of great significance to job seekers and work units. In view of the diversity of region, position, salary and education, Xgboost decision tree algorithm can visually show information to job seekers in the way of word cloud for job seekers, so as to facilitate the corresponding job recommendation for job seekers.

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References

Yuting Ye. Where do famous graduates find jobs? Modern Youth, 2022, (03): 38 -40.

Lei Hao. The application of job analysis in enterprise Human resource management [J]. Human Resources Development, 2023, (12): 71-73.

Mingguang zhang. Ru Ning. Research on Supply and demand matching of college graduates' employment under the background of Industrial transformation and upgrading [J]. Exploration of Higher Education, 2020(9): 114-122.

Liang Chen. Design and Implementation of Intelligent Job Analysis System based on Collaborative Filtering Algorithm [J]. Software Engineering, 2023, 26 (10): 58-62.

Zhiyang Song, Zhou Chen, Zhang Juan, Chen Yingying. Design and implementation of Job Analysis System for Recruitment Website [J]. Computer & Telecommunications, 2020, (09): 6-10.

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Published

17-04-2024

Issue

Section

Articles

How to Cite

Chen, J., Chen, Y., Liao, Y., Mu, J., Li, G., & Li, J. (2024). Job Recruitment Analysis based on Xgboost Decision Tree. International Journal of Social Sciences and Public Administration, 2(3), 392-396. https://doi.org/10.62051/ijsspa.v2n3.56