Coding & scripting forum: recommender system

And what you feel would be better.

i want to discuss with people working in the field recommender system, exactely user-based filtering or item-based , because my professor is not someone from domaine.

for me ,i do this in matlab. i compute the MAE(mean absolute error) to measure the performance of the algorithm that produce the recommandations .i dont have the result, the program is basy, i dont have any idea , how much time to do this .

I dont know the good way to do this , how people of this field measure MAE ?if they use matlab or another things, if they use the whole matrix user_item matrix (943users, 1682 movies) (the matrix is very sparce) or there is a another dataset for test to compute MAE.
Can you please help me solving this problem if you are working in recommender system? Thanks in advance!

i would how we do this ? not to copying the paper smart boy, this the traditional approch

all of people work with this database, those are not numbers , thanks for your help. no time to weast with you.perhaps that you manear is copying, by this way you think that all people do the same. you are terrible .

your results show that the traditional approach takes a lot of time when doing it in Matlab.

So maybe you conclude:
a. The traditional approach is not the best one available
or
b. Matlab isn't the best tool available for the traditional approach
It's a nice subject for a phd course to find better approaches or better tools, isn't it?

Moreover, if your purpose is to "measure the performance of the algorithm", as you state in your first post, the time it takes is subject of the study. So why care if it takes long? That's a result also.

The interesting thing now is to determine the relationship between the size of the matrix (vary the number of users or number of movies) or the percentage of filled cells (it's very sparse now, you write) on one hand and the time needed for the algorithm on the other hand.

Kees

yes very general, specific and not clear for all people.
i want to discuss with people working in the field recommender system, exactely user-based filtering or item-based , because my professor is not someone from domaine.

for me ,i do this in matlab. i compute the MAE(mean absolute error) to measure the performance of the algorithm that produce the recommandations .i dont have the result, the program is basy, i dont have any idea , how much time to do this .

I dont know the good way to do this , how people of this field measure MAE ?if they use matlab or another things, if they use the whole matrix user_item matrix (943users, 1682 movies) (the matrix is very sparce) or there is a another dataset for test to compute MAE.