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Title: GitHub - eval7ql/RecommenderSystem: A network TV program recommendation system implemented by python is mainly based on the post-fusion of user collaborative filtering and content-based recommendation algorithms.

Open Graph Title: GitHub - eval7ql/RecommenderSystem: A network TV program recommendation system implemented by python is mainly based on the post-fusion of user collaborative filtering and content-based recommendation algorithms.

X Title: GitHub - eval7ql/RecommenderSystem: A network TV program recommendation system implemented by python is mainly based on the post-fusion of user collaborative filtering and content-based recommendation algorithms.

Description: A network TV program recommendation system implemented by python is mainly based on the post-fusion of user collaborative filtering and content-based recommendation algorithms. - eval7ql/RecommenderSystem

Open Graph Description: A network TV program recommendation system implemented by python is mainly based on the post-fusion of user collaborative filtering and content-based recommendation algorithms. - eval7ql/Recommende...

X Description: A network TV program recommendation system implemented by python is mainly based on the post-fusion of user collaborative filtering and content-based recommendation algorithms. - eval7ql/Recommende...

Opengraph URL: https://github.com/eval7ql/RecommenderSystem

X: @github

direct link

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https://blog.csdn.net/WuchangI/article/details/80160566https://blog.csdn.net/WuchangI/article/details/80160566
https://patch-diff.githubusercontent.com/eval7ql/RecommenderSystem#一项目功能
https://patch-diff.githubusercontent.com/eval7ql/RecommenderSystem#二项目运行效果
https://patch-diff.githubusercontent.com/eval7ql/RecommenderSystem#1-用户abc对于其三个月来所看过节目的评分
https://github.com/Yuziquan/RecommenderSystem/blob/master/Screenshots/%E7%94%A8%E6%88%B7A(B%E3%80%81C)%E5%AF%B9%E4%BA%8E%E5%85%B6%E4%B8%89%E4%B8%AA%E6%9C%88%E6%9D%A5%E6%89%80%E7%9C%8B%E8%BF%87%E8%8A%82%E7%9B%AE%E7%9A%84%E8%AF%84%E5%88%86.png
https://patch-diff.githubusercontent.com/eval7ql/RecommenderSystem#2-备选推荐节目集及所属类型
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https://patch-diff.githubusercontent.com/eval7ql/RecommenderSystem#3-备选推荐节目集及所属类型01矩阵
https://github.com/Yuziquan/RecommenderSystem/blob/master/Screenshots/%E5%A4%87%E9%80%89%E6%8E%A8%E8%8D%90%E8%8A%82%E7%9B%AE%E9%9B%86%E5%8F%8A%E6%89%80%E5%B1%9E%E7%B1%BB%E5%9E%8B01%E7%9F%A9%E9%98%B5.png
https://patch-diff.githubusercontent.com/eval7ql/RecommenderSystem#4-所有用户对其看过的节目的评分矩阵
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https://patch-diff.githubusercontent.com/eval7ql/RecommenderSystem#5-所有用户看过的节目及所属类型的01矩阵
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https://patch-diff.githubusercontent.com/eval7ql/RecommenderSystem#6-基于内容的推荐算法cb的推荐结果
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https://patch-diff.githubusercontent.com/eval7ql/RecommenderSystem#7-基于用户的协同过滤算法usercf的推荐结果
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https://patch-diff.githubusercontent.com/eval7ql/RecommenderSystem#8-将cb和usercf的两个推荐集按一定比例混合后融合实现混合推荐
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