Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023)

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Visual Analysis of Big Data Related Job Recruitment Information Based on 51job

Authors
Jingjing Shen1, *, Shuyan Yu1
1Yuanpei College, Shaoxing University, Shaoxing, China
*Corresponding author. Email: 1157121536@qq.com
Corresponding Author
Jingjing Shen
Available Online 4 September 2023.
DOI
10.2991/978-94-6463-230-9_27How to use a DOI?
Keywords
Major in Big data; Recruitment information; Python; Visual analysis; Machine learning
Abstract

In such an era of big data, the accumulation of data leads to a sharp increase in the demand for big data-related positions, and a large number of recruitment information is published on recruitment websites. The mining and analysis of these recruitment information will help those engaged in related fields to understand the current situation of the industry and make relevant predictions. Based on 51job, this paper uses various technologies of Python to carry out visual analysis on the job information related to big data major. The random forest algorithm of machine learning and XGBoost algorithm are used to train the salary prediction model, optimize the selection of features, and compare the models, and finally get a model with high accuracy for prediction. Based on the research above, this paper mines out the information of big data-related positions, and provides a comprehensive and intuitive analysis of the industry employment market for big data practitioners.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
4 September 2023
ISBN
978-94-6463-230-9
ISSN
2667-128X
DOI
10.2991/978-94-6463-230-9_27How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jingjing Shen
AU  - Shuyan Yu
PY  - 2023
DA  - 2023/09/04
TI  - Visual Analysis of Big Data Related Job Recruitment Information Based on 51job
BT  - Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023)
PB  - Atlantis Press
SP  - 211
EP  - 225
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-230-9_27
DO  - 10.2991/978-94-6463-230-9_27
ID  - Shen2023
ER  -