AI applications
ECommerceRecommendSystem
ittqqzz/ECommerceRecommendSystem
An e-commerce product recommendation system combining a Vue frontend with Spring services and Spark/Kafka pipelines for real-time and offline recommendations.
Topics
Related projects
medusa37.1kMedusa is an open-source composable commerce platform with modular building blocks for developing custom B2B stores, marketplaces, and omnichannel retail applications.
vditor11.4kA browser-based Markdown editor library with WYSIWYG, instant-rendering and split-view modes for embedding in web apps.
evershop10.5kEverShop is a modern TypeScript-first open-source e-commerce platform built with GraphQL and React for developers creating customizable shopping experiences.
zeppelin6.7kApache Zeppelin is a web-based notebook for interactive data analytics, supporting Spark, Flink, SQL, Python and 20+ pluggable interpreters.
cool-admin-midway3.3kCool-Admin is a Node.js and Vue3 admin framework with a modular, plugin-based architecture, CRUD scaffolding, AI-assisted coding, and flow orchestration for building management backends.
SZT-bigdata2.5kA hands-on Shenzhen metro ridership analytics project built on transit card data, demonstrating a big-data pipeline and warehouse with Flink, Kafka, Hive, Spark and ClickHouse.