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:helicopter::rocket:基于Flink实现的商品实时推荐系统。flink统计商品热度，放入redis缓存，分析日志信息，将画像标签和实时记录放入Hbase。在用户发起推荐请求后，根据用户画像重排序热度榜，并结合协同过滤和标签两个推荐模块为新生成的榜单的每一个产品添加关联产品，最后返回新的用户列表。

Java 99.07% HTML 0.93%

flink-recommandsystem-demo's Introduction

😂 AD

十年老架构、某厂软件负责人、15年互联网工作经验，任何问题与指导请加V: beat_ping

👨🏻‍💻  About Me 🐳

Hi, 我是 「pinkhello」Follow， 🚹，驻魔多年，想法很多、精力有限 活跃在 github

  • 「积跬步· 至千里」是我的 Slogan, 希望自己能积少成多。
  • 🏠 职业是全栈、从业超过10年，做过后端、前端、基础设施建设、对内、ToB、ToC 等等平台化应用与工具，目前在研究的量化相关的知识、同时为"引爆农业"添砖加瓦。
  • ✉️ 邮箱国际化通用加密方式 echo bGVlMTIzbGVlMTIzQDE2My5jb20K | base64 -d

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