• Movie Rating with Collaborative Filtering
  • Introduction
  • 基础知识
    • 推荐系统基础知识
    • spark基础
    • python基础
    • ALS的理解
  • 工具选择
  • 数据预处理
  • 模型选型及参数选取
  • 模型建立
  • 使用推荐模型
  • 推荐模型效果的评估
  • FQA
  • schedule
  • 引用
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引用

引用

https://docs.google.com/document/d/1qxWPR9GbP2PI4WzBCAdl8dgOEo4-r_IEd34re5e6Ki4/edit

https://databricks-training.s3.amazonaws.com/movie-recommendation-with-mllib.html https://www.codementor.io/spark/tutorial/building-a-recommender-with-apache-spark-python-example-app-part1

https://movielens.org/home

https://www.codementor.io/spark/tutorial/building-a-recommender-with-apache-spark-python-example-app-part1

https://www.codementor.io/spark/tutorial/building-a-web-service-with-apache-spark-flask-example-app-part2

http://blog.untrod.com/2016/06/simple-similar-products-recommendation-engine-in-python.html

使用Spark MLlib给豆瓣用户推荐电影

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