Construction of Resume Recommendation Model for College Students Based on Machine Learning

DOI

10.2991/978-94-6463-264-4_11How to use a DOI?

Keywords

machine learning; college graduates; resume data; job recommendation model

Abstract

With the rapid growth of graduates and by the negative impact from the COVID-19, graduates have encountered many difficulties in employment. Therefore, it is particularly necessary to analyze the resume data of college graduates. Based on this need, this paper establishes a resume data extraction model, extracts college students' resume data into the database, saves it as structured data, and then conducts data pre-processing operations. Finally, through using machine learning algorithms to analyze the resume data, the job recommendation model established in this paper can greatly help college students find jobs.

Copyright

© 2024 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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TY  - CONF
AU  - Yingjie Bu
AU  - Yaodong Jin
AU  - Xiaohua Zhang
AU  - Zhiyuan Zhan
PY  - 2023
DA  - 2023/09/28
TI  - Construction of Resume Recommendation Model for College Students Based on Machine Learning
BT  - Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
PB  - Atlantis Press
SP  - 92
EP  - 100
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-264-4_11
DO  - 10.2991/978-94-6463-264-4_11
ID  - Bu2023
ER  -