Well.. good question. Really, I abuse the value of the estimated preference in this case to return differing values depending on the strength of the association between the user and item. It's not always 1.0 actually.
It is certainly 'wrong' in a theoretical sense but seemed more useful than just always saying '1.0'. On Tue, Jul 28, 2009 at 4:09 PM, James James<[email protected]> wrote: > Thanks, I think the method recommend() returns an ordered list of items from > the test items. If the return value of estimatePreference() is all the same > for all the test items, how does the method recommend() decide the order in > which it puts each test item on the ordered list.
