Research Article
Intelligent Data Acquisition Method for Cross-border E-commerce Guidance and Purchase Considering User Demand
@INPROCEEDINGS{10.1007/978-3-030-36402-1_19, author={Jiahua Li}, title={Intelligent Data Acquisition Method for Cross-border E-commerce Guidance and Purchase Considering User Demand}, 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={User needs Cross-border E-commerce shopping guide Big data Intelligent acquisition Optimization}, doi={10.1007/978-3-030-36402-1_19} }- Jiahua Li
Year: 2019
Intelligent Data Acquisition Method for Cross-border E-commerce Guidance and Purchase Considering User Demand
ADHIP
Springer
DOI: 10.1007/978-3-030-36402-1_19
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.
