Research Article
Optimization Design of Cross-Border E-commerce Shopping Guide System Combining Big Data and AI Technology
@INPROCEEDINGS{10.1007/978-3-030-36402-1_20, author={Jiahua Li}, title={Optimization Design of Cross-Border E-commerce Shopping Guide System Combining Big Data and AI Technology}, proceedings={Advanced Hybrid Information Processing. Third EAI International Conference, ADHIP 2019, Nanjing, China, September 21--22, 2019, Proceedings, Part I}, proceedings_a={ADHIP}, year={2019}, month={11}, keywords={Big data AI technology Cross-border E-commerce shopping guide system Optimized design}, doi={10.1007/978-3-030-36402-1_20} }- Jiahua Li
Year: 2019
Optimization Design of Cross-Border E-commerce Shopping Guide System Combining Big Data and AI Technology
ADHIP
Springer
DOI: 10.1007/978-3-030-36402-1_20
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.
