First question is, are you using the latest code? I believe I fixed an issue along these lines recently.
On Tue, Jun 2, 2009 at 2:07 AM, Gökhan Çapan <[email protected]> wrote: > However, there is a problem here. The lists of recommended items are usually > same for different users which are not correlated, also they are irrelevant > recommendations. Then I divided the data set into three parts (populars, > moderates, rares) and I've seen that recommendation engine produces very > similar results for all populars, moderates, and rares. Does > NearestNUserNeighborhood algorithm causes that problem? Could you share your > ideas? >
