Description: 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
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Recommender\ml-100k\allbut.pl
...........\.......\mku.sh
...........\.......\README
...........\.......\u.data
...........\.......\u.genre
...........\.......\u.info
...........\.......\u.item
...........\.......\u.occupation
...........\.......\u.user
...........\.......\u1.base
...........\.......\u1.test
...........\.......\u2.base
...........\.......\u2.test
...........\.......\u3.base
...........\.......\u3.test
...........\.......\u4.base
...........\.......\u4.test
...........\.......\u5.base
...........\.......\u5.test
...........\.......\ua.base
...........\.......\ua.test
...........\.......\ub.base
...........\.......\ub.test
...........\....m\movies.dat
...........\.....\ratings.dat
...........\.....\README
...........\.....\users.dat
...........\Recommender.py
...........\ml-100k
...........\ml-1m
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