Description: Users use python-based collaborative filtering recommendation, pearson correlation coefficient is calculated using the similarity, the weighted average prediction scores
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File list (Check if you may need any files):
Movielens实验\getRating.py
.............\loadMovieLens.py
.............\movielens\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
.............\movielens
Movielens实验
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