文件名称:Recommender
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- 上传时间:2016-11-01
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文件大小:9.65mb
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基于MovieLens数据,通过计算余弦相似度,Python语言构建的一个简单协同过滤推荐系统,并给出RMSE等测评结果-Based MovieLens data by calculating the cosine similarity, Python language to build a simple collaborative filtering systems, and the like are given RMSE uation results
(系统自动生成,下载前可以参看下载内容)
下载文件列表
Recommender/ml-100k/allbut.pl
Recommender/ml-100k/mku.sh
Recommender/ml-100k/README
Recommender/ml-100k/u.data
Recommender/ml-100k/u.genre
Recommender/ml-100k/u.info
Recommender/ml-100k/u.item
Recommender/ml-100k/u.occupation
Recommender/ml-100k/u.user
Recommender/ml-100k/u1.base
Recommender/ml-100k/u1.test
Recommender/ml-100k/u2.base
Recommender/ml-100k/u2.test
Recommender/ml-100k/u3.base
Recommender/ml-100k/u3.test
Recommender/ml-100k/u4.base
Recommender/ml-100k/u4.test
Recommender/ml-100k/u5.base
Recommender/ml-100k/u5.test
Recommender/ml-100k/ua.base
Recommender/ml-100k/ua.test
Recommender/ml-100k/ub.base
Recommender/ml-100k/ub.test
Recommender/ml-1m/movies.dat
Recommender/ml-1m/ratings.dat
Recommender/ml-1m/README
Recommender/ml-1m/users.dat
Recommender/Recommender.py
Recommender/ml-100k
Recommender/ml-1m
Recommender
Recommender/ml-100k/mku.sh
Recommender/ml-100k/README
Recommender/ml-100k/u.data
Recommender/ml-100k/u.genre
Recommender/ml-100k/u.info
Recommender/ml-100k/u.item
Recommender/ml-100k/u.occupation
Recommender/ml-100k/u.user
Recommender/ml-100k/u1.base
Recommender/ml-100k/u1.test
Recommender/ml-100k/u2.base
Recommender/ml-100k/u2.test
Recommender/ml-100k/u3.base
Recommender/ml-100k/u3.test
Recommender/ml-100k/u4.base
Recommender/ml-100k/u4.test
Recommender/ml-100k/u5.base
Recommender/ml-100k/u5.test
Recommender/ml-100k/ua.base
Recommender/ml-100k/ua.test
Recommender/ml-100k/ub.base
Recommender/ml-100k/ub.test
Recommender/ml-1m/movies.dat
Recommender/ml-1m/ratings.dat
Recommender/ml-1m/README
Recommender/ml-1m/users.dat
Recommender/Recommender.py
Recommender/ml-100k
Recommender/ml-1m
Recommender
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