项目地址
运行模式
standalone模式
SDK
数据推送与推荐接口交互client，目前仅支持java版本
rec-server
推荐系统在线服务，整合实时数据链路、运营操作以及召回+排序链路，完成整套推荐系统在线服务功能串通
rec-algorithm
推荐算法模块，基于pandas实现，故而目前仅支持单机环境：包含i2i,word2vec,hot以及new四种召回算法
recall-engine
推荐召回引擎，包括两部分
- redis：用户i2i,hot,new以及曝光过滤等
- elasticsearch：用于向量召回以及文本检索
example
顾名思义，为了使开发者更容易的了解整套链路的工作流程而准备的辅助模块
cluster模式
主要是rec-algorithm以及实时链路部分会进行集群版本的扩充，挖个坑先...
先将standalone版本放出来试试水，尝试搜集下需求和建议，当然如果能一起参与开发就更好了，说实话一个人搞还是蛮累的...
演示说明
使用了开放的豆瓣数据集，由于太大没有上传至git
其中包含用户数据64w+，物品数据14w+，行为数据210w+
测试效果：
个性化推荐，当你点了悬疑电影《葬礼之后》
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"tags": "英剧/阿加莎·克里斯蒂/推理/英国/悬疑/Poirot/AgathaChristie/侦探",
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