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

2019
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Author: Jiahua Li
Published in: Advanced Hybrid Information Processing
Publisher: Springer International Publishing

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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.

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previous chapter Intelligent Data Acquisition Method for Cross-border E-commerce Guidance and Purchase Considering User Demand

next chapter Research on Balanced Scheduling Algorithm of Big Data in Network Under Cloud Computing

Metadata
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Title: Optimization Design of Cross-Border E-commerce Shopping Guide System Combining Big Data and AI Technology
Author: Jiahua Li
Publisher: Springer International Publishing
Book: Advanced Hybrid Information Processing
Print ISBN: 978-3-030-36401-4

Electronic ISBN: 978-3-030-36402-1

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-030-36402-1_20

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