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.
CITATION STYLE
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
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