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Title: UserBaseCF Download
 Description: Collaborative filtering recommendation algorithm is the earliest and well-known recommendation algorithm. The main function is prediction and recommendation. The algorithm discovers users'preferences by mining users' historical behavior data, divides users into groups based on different preferences and recommends products with similar tastes. Collaborative filtering recommendation algorithms are divided into two categories: user-based collaborative filtering and item-based collaborative filtering. This algorithm is based on user-based collaborative filtering.
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File list (Check if you may need any files): 
FilenameSizeDate
UserBaseCF\ml-100k\allbut.pl 716  2015-09-18

UserBaseCF\ml-100k\mku.sh 643  2015-09-18

UserBaseCF\ml-100k\README 6403  2015-09-18

UserBaseCF\ml-100k\u.data 1979173  2015-09-18

UserBaseCF\ml-100k\u.genre 202  2015-09-18

UserBaseCF\ml-100k\u.info 36  2015-09-18

UserBaseCF\ml-100k\u.item 236344  2015-09-18

UserBaseCF\ml-100k\u.occupation 193  2015-09-18

UserBaseCF\ml-100k\u.user 22628  2015-09-18

UserBaseCF\ml-100k\u1.base 1586544  2015-09-18

UserBaseCF\ml-100k\u1.test 392629  2015-09-18

UserBaseCF\ml-100k\u2.base 1583948  2015-09-18

UserBaseCF\ml-100k\u2.test 395225  2015-09-18

UserBaseCF\ml-100k\u3.base 1582546  2015-09-18

UserBaseCF\ml-100k\u3.test 396627  2015-09-18

UserBaseCF\ml-100k\u4.base 1581878  2015-09-18

UserBaseCF\ml-100k\u4.test 397295  2015-09-18

UserBaseCF\ml-100k\u5.base 1581776  2015-09-18

UserBaseCF\ml-100k\u5.test 397397  2015-09-18

UserBaseCF\ml-100k\ua.base 1792501  2015-09-18

UserBaseCF\ml-100k\ua.test 186672  2015-09-18

UserBaseCF\ml-100k\ub.base 1792476  2015-09-18

UserBaseCF\ml-100k\ub.test 186697  2015-09-18

UserBaseCF\Similarity_ab.m 1224  2015-10-30

UserBaseCF\SimilitudUsers.mat 5754611  2015-10-30

UserBaseCF\Testread.m 2988  2015-10-30

UserBaseCF\u1.base 1586544  2015-09-18

UserBaseCF\u1.test 392629  2015-09-18

UserBaseCF\ml-100k 0  2016-03-14

UserBaseCF 0  2016-03-14

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