apachecn / Recommendersystems
推荐系统
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项目介绍
介绍推荐系统基本知识，相关算法以及实现。
目录规划
- data 测试用数据集合
- py3.x 相关实践的python 实现
- spark 相关实践的spark 实现
- manual 相关资料集合
- paper阅读分享
- 基础知识分享
内容导航
python 实现（主要用于原理理解）
- ItemCF(使用sklearn 版本和 不使用sklearn版本）
- UserCF(使用sklearn 版本和 不使用sklearn版本）
- LFM
- Graph—Based
Spark 实现
- 特征工程
- ItemCF
计划项(恩 就是挖坑的意思)
推荐算实现
基于用户行为数据的推荐算法
- 关联规则
- LFM
- Graph
- ALS
利用用户标签数据推荐算法
- LDA
- TF-IDF
- TagCF
探索性研究（各个paper的实现）
- Markov Chain
- 社交网络
- 基于深度学习的推荐算法 ....
评价系统实现
推荐系统架构实现
外围架构
用户行为日志存储系统
日志系统
UI
功能模块
数据录入模块
用户特征生成模块
推荐模块
过滤模块
排名模块
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