Design and Application of Cross-border E-commerce Selection Platform for Data Visualization under Big Data Technology

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 filtering recommendation algorithm based on items to help users determine their choices. This system combines big data technology with echarts visual analysis set to summarize 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.