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userbehavioranalysis icon userbehavioranalysis

模拟电商系统上线运行一段时间后,根据收集到大量的用户行为数据,利用大数据技术(Flink)进行深入挖掘和分析,进而得到感兴趣的商业指标并增强对风险的控制。 整体可以分为用户行为习惯数据和业务行为数据两大类。用户的行为习惯数据包括了用户的登录方式、上线的时间点及时长、点击和浏览页面、页面停留时间以及页面跳转等等,从中进行流量统计和热门商品的统计,并深入挖掘用户的特征;业务行为数据分为两类:一类是能够明显地表现出用户兴趣的行为,比如对商品的收藏、喜欢、评分和评价,对数据进行深入分析,得到用户画像,进而对用户给出个性化的推荐商品列表;另一类则是常规的业务操作,关注异常状况以做好风控,比如登录和订单支付。

vhr icon vhr

微人事是一个前后端分离的人力资源管理系统,项目采用SpringBoot+Vue开发。

wayne icon wayne

Kubernetes multi-cluster management and publishing platform

wehousing icon wehousing

Golang微服务+区块链实战---go+micro+fabric实现租房上链系统

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