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K-NN movie recommendation
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Application background #coding:utf8Numpy as NP importSklearn import neighbors fromCSV import"" "" "which reads from the file and yields a Function generator"""OriginReader = csv.reader (file ("C:\Users\uuuu\Desktop\movie\u2.csv",'rb'))List2 = []Line2 in originReader: for List2.append (line2) CloudReader = csv.reader; (file ("C:\Users\uuuuu\Desktop\movie\movie.csv",'rb'))List1 = [] line; in cloudReader: for List1.append (line[0]) L1 = []L2 = []Index value, in enumerate for (List1): value; if! ='0': L1.append (List1[index]);;; L2.append (List2[index]);;; L1 = np.matrix (L1, dtype='float64')L2 = np.matrix (L2, dtype='float64')New
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