Proceedings of the 2025 5th International Conference on Informatization Economic Development and Management (IEDM 2025)

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On the Performance of Artificial Intelligence Empowerment on Consumer Behavior

Authors
Chengcheng Ji1, Yushen Zhang2, Zhitao Zhu3, Xiangyu Li4, Hongyan Lv5, Chunhong Yuan6, *
1Beijing University of Civil Engineering and Architecture, Department of Urban Economics and Management, Beijing, 100044, China
2Beijing University of Civil Engineering and Architecture, School of architecture and urban planning, Beijing, 100044, China
3Beijing University of Posts and Telecommunications, Beijing, 100876, China
4Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
5School of Cyber Science and Engineering, Southeast University, Nanjing, 211189, China
6Department of Pre-Engineering, Kazan (Volga Region) Federal University, Kazan, 420008, China
*Corresponding author. Email: ChYuan@kpfu.ru
Corresponding Author
Chunhong Yuan
Available Online 26 May 2025.
DOI
10.2991/978-94-6463-724-3_12How to use a DOI?
Keywords
Artificial intelligence; Personalized recommendations; Consumer behavior; E-Commerce
Abstract

In recent years, the rapid advancement of artificial intelligence (AI) technology has provided substantial impetus for the innovation and optimization of personalized recommendation systems. However, research on the correlation between personalized recommender systems and consumer behavior remains relatively limited, with a lack of systematic theoretical exploration and empirical analysis. This study employs a questionnaire survey method to collect detailed data samples and innovatively integrates heat map analysis technology to conduct a comprehensive investigation into the relationship between personalized recommendation systems and consumer behavior evaluation variables. The study focuses on elucidating the mechanisms through which personalized recommender systems influence consumer preferences, purchase decisions, and usage satisfaction, aiming to uncover their multi-level and multi-dimensional impact pathways. The data analysis reveals that personalized recommendation systems significantly affect multiple key dimensions of consumer behavior, demonstrating a high degree of relevance and interactivity. These findings provide crucial theoretical support for a deeper understanding of the operational principles and optimization strategies of personalized recommendation systems, while also offering a new practical perspective for interdisciplinary research at the intersection of AI technology and consumer behavior, thereby holding significant academic and practical value.

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 5th International Conference on Informatization Economic Development and Management (IEDM 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
26 May 2025
ISBN
978-94-6463-724-3
ISSN
2352-5428
DOI
10.2991/978-94-6463-724-3_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  - Chengcheng Ji
AU  - Yushen Zhang
AU  - Zhitao Zhu
AU  - Xiangyu Li
AU  - Hongyan Lv
AU  - Chunhong Yuan
PY  - 2025
DA  - 2025/05/26
TI  - On the Performance of Artificial Intelligence Empowerment on Consumer Behavior
BT  - Proceedings of the 2025 5th International Conference on Informatization Economic Development and Management (IEDM 2025)
PB  - Atlantis Press
SP  - 108
EP  - 117
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-724-3_12
DO  - 10.2991/978-94-6463-724-3_12
ID  - Ji2025
ER  -