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recommend-algorithm's Introduction

项目介绍

介绍作者在学习推荐系统过程中学习到的知识,包括:

  • 算法原理
  • 数据样本/数据集链接
  • 代码实现(python,scala)
  • 相关脚本(主要是hadoop streaming/kv/redis/excel等工具)
  • 参考论文

目录规划

岗位要求

  • 能力介绍
  • 面试问题
  • 相关资料

数据处理

  • 从Hadoop提取数据,利用Mapreduce
  • 从KV提取数
  • 从Redis提取
  • 利用matplotlib对比实验
  • 生成excel

爬虫

  • 去应用宝/小米商城/豌豆荚爬取app的topic
  • 爬取新闻
  • 爬取小说

NLP

  • 分词(jieba)
  • 词嵌入(Word2Vec)
  • FastText
  • TextCNN

用户画像

召回

  • 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

冷启动

  • 基于地域
  • 基于兴趣

个性化排序

  • FM
  • FFM
  • DeepFM
  • Wide & Deep

recommend-algorithm's People

Contributors

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