Optimization Design of Cross-Border E-commerce Shopping Guide System Combining Big Data and AI Technology

0Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In the era of Internet economy, cross-border e-commerce shopping guides were conducted under the conditions of virtual network environment. Therefore, the traditional cross-border e-commerce shopping guide system had long been unable to meet the diversified needs of cross-border e-commerce shopping guides. A cross-border e-commerce shopping guide system combining big data and AI technology was proposed and designed. Using big data and AI technology, the hardware and software of the cross-border e-commerce shopping guide system were analyzed respectively, and the optimized design of the cross-border e-commerce shopping guide system was completed. The experimental data showed that the cross-border e-commerce shopping guide system combining big data and AI technology had better performance than the traditional system, and could better meet the technical requirements of cross-border e-commerce shopping guide.

Cite

CITATION STYLE

APA

Li, J. (2019). Optimization Design of Cross-Border E-commerce Shopping Guide System Combining Big Data and AI Technology. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST (Vol. 301 LNICST, pp. 189–196). Springer. https://doi.org/10.1007/978-3-030-36402-1_20

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free