ittqqzz / Ecommercerecommendsystem
商品大数据实时推荐系统。前端：Vue + TypeScript + ElementUI，后端 Spring + Spark
Stars: ✭ 139
Programming Languages
java
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ECommerceRecommendSystemIntroduction
电商网站商品推荐系统采用前后端分离开发的方式，通过 JSON 交互数据。
在线浏览：liruiha.com:8080/business/
视频简介：点击打开视频演示
前端使用 Vue + TypeScript + ElementUI 构建，build 的时候自动部署到后端业务工程的 webapps/static 目录下，随 Tomcat 一同启动
后端又分为业务模块和推荐模块，业务模块与前端交互、接收与反馈数据。推荐模块监听 Kafka 的用户行为数据，然后进行实时计算，将结果写回 MongoDB，并周期性执行离线计算，根据用户最近的操作记录进行离线推荐，并将推荐结果写入到 MongoDB
开发工具
- 环境：Win 10、JDK-1.8、Scala-2.11、Spark-2.1
- IDE：IDEA
- 组件：Kafka、Redis、MongoDB
- 其他：Flink-1.7（计划已关闭）
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