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Type: User
Type: User
Movielens datasets. UserCF&ItemCF based on Pearson and Cosine similarity!
这是一个 ☛全栈/全端/全平台☚ 的B2C模式的电商项目, web后台基于Django2.0 + Python3.6, 前后端分离,前端使用Vue框架开发。移动端基于Flutter开发,一套代码支持Android&IOS平台。微信小程序基于mpvue框架开发。
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
apply FM on movielens datasets
Hands-On Recommendation Systems with Python published by Packt
item2vec on movielens datasets
利用MovieLens数据,Pearson相似度,分别基于User和Item构建一个简单的kNN推荐系统,并给出RMSE评测
CNN 实现文本分类
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