Research on user experience optimization strategy of e-commerce platform with biomechanics principle—Analysis based on data mining

  • Meng Zheng Management School, Henan University of Urban Construction, Pingdingshan 467036, China
Keywords: e-commerce platform; user experience; biomechanical principle; data analysis
Article ID: 1602

Abstract

This study discusses the strategy of combining biomechanics principle and data mining technology to optimize the user experience of e-commerce platform. Through biomechanical principles, the interface design and interaction mode are optimized, and the operation comfort and efficiency are improved. Data mining technology deeply analyzes user behavior data, reveals user needs and pain points, and provides decision support for personalized service and interface design. The study proposes specific optimization strategies, such as personalized recommendation, interaction process simplification, response speed improvement and equipment adaptation, and emphasizes the importance of user feedback and continuous optimization mechanism. These strategies effectively improve the user experience and enhance the user stickiness and market competitiveness of the platform.

References

1. Ma C. Research on Payment System Security and Trust building Mechanism in cross-border e-commerce. Chinese brand and anti-counterfeiting; 2025.

2. Wang F, Wang Y, Han Y, et al. Optimizing brand loyalty through user-centric product package design: A study of user experience in dairy industry. Heliyon. 2024; 10(3): e25484. doi: 10.1016/j.heliyon.2024.e25484

3. Li Y, Li X, Cai J. How attachment affects user stickiness on live streaming platforms: A socio-technical approach perspective. Journal of Retailing and Consumer Services. 2021; 60: 102478. doi: 10.1016/j.jretconser.2021.102478

4. Pei Qi. The influence of personalized recommendation System on consumer choice in e-commerce platform. Mall Modernization; 2025.

5. Ehikioya SA, Guillemot E. A critical assessment of the design issues in e‐commerce systems development. Engineering Reports. 2020; 2(4). doi: 10.1002/eng2.12155

6. Agrawal M, Dhar D. Enhancing User Experience of E-commerce Platforms—A Case Study of B2C Applications in the Indian Market. In: Chakrabarti A, Poovaiah R, Bokil P, Kant V (eds). Design for Tomorrow. Smart Innovation, Systems and Technologies. Springer, Singapore; 2021.

7. Pang X. Analysis of the impact of e-commerce characteristics on consumers’ purchase intention and trust tendency. Business Review; 2018.

8. Wang N. Application and impact of big Data and artificial intelligence in e-commerce operation model. Business Economics Research; 2025.

9. Zhu S, Lv K, Cheng Y. The Impact of Digital Technology Innovation on Firm Performance: Based on the Corporate Digital Responsibility Perspective. Business Ethics, the Environment & Responsibility; 2025. doi: 10.1111/beer.12785

10. Chen Q, Zhao X, Zhang X, et al. Driving forces of digital transformation in Chinese enterprises based on machine learning. Scientific Reports. 2024; 14(1). doi: 10.1038/s41598-024-56448-w

11. Kraus S, Jones P, Kailer N, et al. Digital Transformation: An Overview of the Current State of the Art of Research. Sage Open. 2021; 11(3). doi: 10.1177/21582440211047576

12. Song Y. Research on Interaction Design of E-commerce platform Trial section based on User experience. Daily Electrical Appliances; 2024.

13. Lopes JM, Silva LF, Massano-Cardoso I. AI Meets the Shopper: Psychosocial Factors in Ease of Use and Their Effect on E-Commerce Purchase Intention. Behavioral Sciences. 2024; 14(7): 616. doi: 10.3390/bs14070616

14. Xia J. Study on the influence of E-commerce platform user Experience on purchase intention. Mall Modernization; 2024.

15. Cao Q. Application research of data mining algorithm based on Ensemble learning in e-commerce analysis. Journal of Anyang Institute of Technology. 2019.

Published
2025-03-19
How to Cite
Zheng, M. (2025). Research on user experience optimization strategy of e-commerce platform with biomechanics principle—Analysis based on data mining. Molecular & Cellular Biomechanics, 22(4), 1602. https://doi.org/10.62617/mcb1602
Section
Article