Research on the Employment Development Assessment of Graduates from Private Colleges in Fujian Province Major in Cross-Border E-Commerce Based on Big Data Mining and AI Technology

Ruiqian Su; Ling Meng

doi:10.2991/978-94-6463-710-6_36

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Research on the Employment Development Assessment of Graduates from Private Colleges in Fujian Province Major in Cross-Border E-Commerce Based on Big Data Mining and AI Technology

Authors

Ruiqian Su¹, Ling Meng¹^{, *}

¹School of Foreign Languages, Xiamen Institute of Technology, Xiamen, 361021, China

^*Corresponding author. Email: 2010110818@xmut.edu.cn

Corresponding Author

Ling Meng

Available Online 14 May 2025.

DOI: 10.2991/978-94-6463-710-6_36 How to use a DOI?
Keywords: Employment development assessment; big data mining; artificial intelligence; cross-border e-commerce; private colleges
Abstract: This study develops an employment assessment system for cross-border e-commerce graduates from private colleges in Fujian, leveraging big data and AI. Using five years of employment data, the research applies the entropy weight method to create indicators for employment quality, potential, and stability. Prediction models using XGBoost, deep learning, and a Stacking framework enhance accuracy. Results show IT-related majors, especially computer science, exhibit strong and growing competitiveness, with interdisciplinary majors rising rapidly. The system offers effective predictive performance, supporting college program development and talent training decisions.
Copyright: © 2025 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 2025 4th International Conference on Big Data Economy and Digital Management (BDEDM 2025)
Series: Advances in Intelligent Systems Research
Publication Date: 14 May 2025
ISBN: 978-94-6463-710-6
ISSN: 1951-6851
DOI: 10.2991/978-94-6463-710-6_36 How to use a DOI?
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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ris enw bib

TY  - CONF
AU  - Ruiqian Su
AU  - Ling Meng
PY  - 2025
DA  - 2025/05/14
TI  - Research on the Employment Development Assessment of Graduates from Private Colleges in Fujian Province Major in Cross-Border E-Commerce Based on Big Data Mining and AI Technology
BT  - Proceedings of the 2025 4th International Conference on Big Data Economy and Digital Management (BDEDM 2025)
PB  - Atlantis Press
SP  - 319
EP  - 325
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-710-6_36
DO  - 10.2991/978-94-6463-710-6_36
ID  - Su2025
ER  -

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