Sorry for the confusion. I am comparing different algorithms including
both user-based and item-based. So I think it will be useful to know how
Mahout is dealing with such a situation in order to give a more fair
comparison. Because for now, the user-based approaches get a better
result to me. By mapping algorithm, I mean a way to map my inferred
preference (1-1000) to a smaller scale (1-5). Thank you for your help.
Best Regards,
Jimmy
On 13-05-08 11:21 AM, Sean Owen wrote:
It may be selected as a test item. Other algorithms can predict the
'4'. The test process is random so as to not favor one algorithm.
I think you are just arguing that the algorithm you are using isn't
good for your data -- so just don't use it. Is that not the answer?
I don't know what you mean by the mapping algorithm.
On Wed, May 8, 2013 at 4:17 PM, Zhongduo Lin <[email protected]> wrote:
Thank you for your reply. So in the case that item 4 is in the test set,
will Mahout just not take it into consideration or generate any preference
instead? Any is it there any way to evaluate the mapping algorithm in
Mahout?
Best Regards,
Jimmy
