Abstract
At present, due to the unknown online procurement, and remote distance for the cross-border e-commerce shopping guide, business considerations for users were not so full. Based on this, a cross-border e-commerce shopping guide big data intelligent collection method considering user needs was proposed. Through the mobile port of big data to collect and explore the online social retail collection method of big data, it focused on promoting the way of big data onto intelligent collection, and promoted cross-border e-commerce shopping guide big data to better carry out commodity circulation of user needs. Experiments showed that the big data collection method studied in this paper better combined user needs and merchant profit, and helped to improve user experience.
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Acknowledgements
“Innovation Research on Cross-border E-commerce Shopping Guide Platform Based on Big Data and AI Technology”, Funded by Ministry of Education Humanities and Social Sciences Research and Planning Fund (No.: 18YJAZH042); Key Research Platform Project of Guangdong Education Department (No.: 2017GWTSCX064); The 13th Five-Year Plan Project of Philosophy and Social Science Development in Guangzhou (No.: 2018GZGJ208).
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Li, J. (2019). Intelligent Data Acquisition Method for Cross-border E-commerce Guidance and Purchase Considering User Demand. In: Gui, G., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 301. Springer, Cham. https://doi.org/10.1007/978-3-030-36402-1_19
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DOI: https://doi.org/10.1007/978-3-030-36402-1_19
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