Research Article
Design and Application of Cross-border E-commerce Selection Platform for Data Visualization under Big Data Technology
@INPROCEEDINGS{10.4108/eai.9-12-2022.2327617, author={Na Wang}, title={Design and Application of Cross-border E-commerce Selection Platform for Data Visualization under Big Data Technology}, proceedings={Proceedings of the 4th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2022, December 9-11, 2022, Chongqing, China}, publisher={EAI}, proceedings_a={MSIEID}, year={2023}, month={3}, keywords={big data technology; hadoop; data visualization; e-commerce selection}, doi={10.4108/eai.9-12-2022.2327617} }- Na Wang
Year: 2023
Design and Application of Cross-border E-commerce Selection Platform for Data Visualization under Big Data Technology
MSIEID
EAI
DOI: 10.4108/eai.9-12-2022.2327617
Abstract
This paper completes the design and implementation of a cross-border e-commerce selection platform for data visualization under big data technology. Hadoop ecosystem and Spark computing framework are used as ETL data processing engines of big data platform, and the development language of application system is Java, and SSM is selected as the development framework. This paper focuses on the collaborative fil-tering recommendation algorithm based on items to help users determine their choices. This system combines big data technology with echarts visual analysis set to summa-rize data information and generate data reports, which is convenient for users to make product selection decisions quickly and accelerate the development of e-commerce platform.