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recommendersystems's Introduction

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

recommendersystems's People

Contributors

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Watchers

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