Research on the Application of Artificial Intelligence Based Technology in Chinese Book Procurement in Universities—Take Shaoyang University Library as an Example

DOI

10.2991/978-94-6463-034-3_96How to use a DOI?

Keywords

Artificial intelligence technology; university book procurement; machine learning

Abstract

To reduce the risk of zero borrowing of purchased books, the live use of library space, and the optimization of the library's shelving procedures, given the limited funds and space in university libraries, this article uses algorithms such as Light Gradient Boosting Machine (LightGBM), Support Vector Machine (SVM), and K-Nearest Neighbor (KNN) for classification and regression The analysis was conducted and the results were cross-checked 10 times. By comparing the experimental results, the LightGBM method has an accuracy of 73.17% and a RMSE value of 4.154, and the model can be used as a basis for effective purchasing decisions.

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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TY  - CONF
AU  - Ke Luo
PY  - 2022
DA  - 2022/12/23
TI  - Research on the Application of Artificial Intelligence Based Technology in Chinese Book Procurement in Universities—Take Shaoyang University Library as an Example
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)
PB  - Atlantis Press
SP  - 936
EP  - 946
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-034-3_96
DO  - 10.2991/978-94-6463-034-3_96
ID  - Luo2022
ER  -