Research on intelligent recommendation system of course resources based on central enterprise training platform

Kaili Guo; Qianhui Yu; Yixing Qi; Jie Zhan; Zhuoyue Li; Guihua Lin; Kai Zhang; Ran Fang

doi:10.2991/978-94-6463-417-4_48

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Research on intelligent recommendation system of course resources based on central enterprise training platform

Authors

Kaili Guo¹^{, *}, Qianhui Yu¹, Yixing Qi¹, Jie Zhan¹, Zhuoyue Li¹, Guihua Lin¹, Kai Zhang¹, Ran Fang¹

¹State Grid of China Technology College, Jinan, China

^*Corresponding author. Email: guokaili2014@163.com.cn

Corresponding Author

Kaili Guo

Available Online 7 May 2024.

DOI: 10.2991/978-94-6463-417-4_48 How to use a DOI?
Keywords: State Grid E-learning; personalized recommendation; Collaborative filtering algorithm; Knowledge graph
Abstract: State Grid E-learning is an online training service platform for the unified construction and promotion and application of the State Grid Corporation of China. This paper carries out research on personalized recommendation technology of courseware resources of the State Grid School, adopts hybrid Collaborative filtering algorithm and Knowledge graph classification system, establishes an intelligent recommendation system based on user’s stereoscopic portrait on the State Grid School, connects user attributes and behaviors with the digital training resources of the State Grid School, greatly improves the efficiency of resource utilization in various application scenarios, and realizes intelligent push of resources at the same time, Enhance user learning experience.
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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Volume Title: Proceedings of the 2024 5th International Conference on Big Data and Informatization Education (ICBDIE 2024)
Series: Advances in Intelligent Systems Research
Publication Date: 7 May 2024
ISBN: 978-94-6463-417-4
ISSN: 1951-6851
DOI: 10.2991/978-94-6463-417-4_48 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.

Cite this article

ris enw bib

TY  - CONF
AU  - Kaili Guo
AU  - Qianhui Yu
AU  - Yixing Qi
AU  - Jie Zhan
AU  - Zhuoyue Li
AU  - Guihua Lin
AU  - Kai Zhang
AU  - Ran Fang
PY  - 2024
DA  - 2024/05/07
TI  - Research on intelligent recommendation system of course resources based on central enterprise training platform
BT  - Proceedings of the 2024 5th International Conference on Big Data and Informatization Education (ICBDIE 2024)
PB  - Atlantis Press
SP  - 522
EP  - 531
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-417-4_48
DO  - 10.2991/978-94-6463-417-4_48
ID  - Guo2024
ER  -

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