Proceedings of the 5th International Conference on Management Science and Software Engineering (ICMSSE 2025)

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An Improvement Framework for College Student Affairs Service Systems Based on Collaborative Filtering and Sentiment Analysis

Authors
Miaomiao Guan1, Shuwu Li2, Peitao Du2, *
1Guangxi Science and Technology Normal University, Laibin, 546199, China
2Farabi International Business School, Al-Farabi Kazakh National University, Almaty, 050040, Kazakhstan
*Corresponding author. Email: 172840929@qq.com
Corresponding Author
Peitao Du
Available Online 26 December 2025.
DOI
10.2991/978-94-6463-958-2_12How to use a DOI?
Keywords
Service Systems; AI; Higher Education
Abstract

This study focuses on the current situation and deficiencies of the student affairs service systems in higher education institutions against the backdrop of the informatization of higher education. With the development of information technology, the information of education has become the core driving force for the modernization of higher education. The Chinese government emphasizes the use of cloud computing, big data, and AI technologies to build smart campuses. However, the current student affairs service systems in universities are mostly based on traditional monolithic architecture or primary microservice architecture, with limited functions that fail to meet the diverse and personalized needs of students, especially in terms of recommendation services and user feedback analysis. Although existing research has made progress in the field of higher education informatization and student management, there are limitations, such as the lack of personalized recommendation mechanisms for students, low efficiency in user feedback analysis, lack of targeted optimization of AI technology applications, and insufficient integration of system architecture and AI modules.

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 5th International Conference on Management Science and Software Engineering (ICMSSE 2025)
Series
Advances in Intelligent Systems Research
Publication Date
26 December 2025
ISBN
978-94-6463-958-2
ISSN
1951-6851
DOI
10.2991/978-94-6463-958-2_12How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - Miaomiao Guan
AU  - Shuwu Li
AU  - Peitao Du
PY  - 2025
DA  - 2025/12/26
TI  - An Improvement Framework for College Student Affairs Service Systems Based on Collaborative Filtering and Sentiment Analysis
BT  - Proceedings of the 5th International Conference on Management Science and Software Engineering (ICMSSE 2025)
PB  - Atlantis Press
SP  - 90
EP  - 101
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-958-2_12
DO  - 10.2991/978-94-6463-958-2_12
ID  - Guan2025
ER  -