user=1 #gio y cho user 1
loaiDadang=0;
alpha=0.5 #can bang da dang voi rel
standardMetric=0.8 #
kUser=5 #k_nearest_neighbors
# đường dẫn
baseFile = 'D:/danthanh/DoAnTotNghiep/datasets/ml-100k/ua.base'
itemFile = 'D:/danthanh/DoAnTotNghiep/datasets/ml-100k/u.item'
userFile='D:/danthanh/DoAnTotNghiep/datasets/ml-100k/u.user'
#
# #khoi tao listitem, va ma tran danh gia
listItem=ReadFile.getItem(itemFile);
listUser=ReadFile.getUser(userFile);
urm=ReadFile.UserRatingMatrix("D:/danthanh/DoAnTotNghiep/datasets/ml-100k/u1.base",MAX_UID,MAX_IID)
urmTest=ReadFile.UserRatingMatrix("D:/danthanh/DoAnTotNghiep/datasets/ml-100k/u1.test",MAX_UID,MAX_IID)
uTest=ReadFile.GetListUSerTest("D:/danthanh/DoAnTotNghiep/datasets/ml-100k/u1.test")
gMS=ReadFile.getMoviesSeen("D:/danthanh/DoAnTotNghiep/datasets/ml-100k/u1.base")
GroupByCategory,GroupByMovies=ReadFile.getMovies_Genres(itemFile)
############################### MF #####################################
# Hệ thống cũ MF
U, S, Vt = Function.computeSVD(urm, K)
A=U*S*Vt
listRecommedOld = Function.MF(U, S, Vt, uTest, gMS,topN,MAX_UID,MAX_IID)
# fullRecommedMF=listRecommedOld
# print (fullRecommedMF)
userRecommedMF=listRecommedOld[user];
print ('Danh sach goi y cu bang MF:')
print('################################################');
print (userRecommedMF)
