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open-rec

open-rec是一个基于开源技术栈的推荐系统,提供standalone和cluster两种运行模式,包含SDK数据推送、推荐接口交互client、推荐系统在线服务、推荐算法模块和召回引擎等功能。

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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 1. redis:用户i2i,hot,new以及曝光过滤等2. 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以及离线、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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