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how can wecalculate the average for sparse matrix

i have matrix of large data say 1700 row and 500 in coloumn in this there entry is given as rate value from 1- 5 . some values are missing . so i have to find out a predict value for each col value by average algorithms by using past rate value..........


for example let say there 500 user in coloumn and 1700 movie in row so i would like to
find i guss value for each user .... the algorithms is


let say for example rate value for abc movie and xyz user would be

average of all other user in the movie 'abc' +average of all other movie rating for for the user xyz


so how can find these value by c++ programming .
May 7 '07 #1
1 1425
r035198x
13,262 8TB
i have matrix of large data say 1700 row and 500 in coloumn in this there entry is given as rate value from 1- 5 . some values are missing . so i have to find out a predict value for each col value by average algorithms by using past rate value..........


for example let say there 500 user in coloumn and 1700 movie in row so i would like to
find i guss value for each user .... the algorithms is


let say for example rate value for abc movie and xyz user would be

average of all other user in the movie 'abc' +average of all other movie rating for for the user xyz


so how can find these value by c++ programming .
What ideas do you have for doing it?
May 7 '07 #2

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