Prediction of college students’ online interaction based on MLP

DOI

10.2991/978-94-6463-326-9_49How to use a DOI?

Keywords

MLP; e-Commerce; AI; Blockchain; IoT

Abstract

Fuzhou is the capital city of Fujian Province, China. In 2018, “e-Fuzhou APP” was launched as a unified APP portal for Fuzhou citizens, with 70 functions and 184 online services, and was well received and widely used by citizens. As of January 5, 2022, the total number of users exceeded 9 million. The number of daily users has reached 300,000, and the cumulative number of services has exceeded 660 million, ranking at the forefront of the national government convenience APP. In this paper, the MLP method was used to investigate the Internet preference of the teenagers in Fuzhou. First of all, according to the literature, the four fields of e-commerce, artificial intelligence, blockchain and Internet of things were sorted out, and questionnaires were made and distributed. A total of 422 valid questionnaires were recovered. By reliability and validity test, KMO = 0.838 (>0.8, P = 0.00), close to 1, indicating that the correlation between variables is strong, suitable for analysis as a factor and information extraction, with good structural validity. Cronbach α = 0.852 (>0.8), the Alpha coefficient of each variable is above 0.8, indicating that the internal consistency of the selected measurement indicators is good. This study summarizes four findings: young people like the application of e-commerce in life, young people like the application of AI technology in the field of education, young people prefer the development of blockchain to support the supply chain, and young people expect IoT technology to promote the development of smart agriculture.

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  - Kuotai Tang
AU  - Hailing Duan
AU  - Ying He
AU  - Xiaowei Huang
PY  - 2023
DA  - 2023/12/30
TI  - Prediction of college students’ online interaction based on MLP
BT  - Proceedings of the 2023 3rd International Conference on Business Administration and Data Science (BADS 2023)
PB  - Atlantis Press
SP  - 476
EP  - 486
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-326-9_49
DO  - 10.2991/978-94-6463-326-9_49
ID  - Tang2023
ER  -