Right, it doesn't do that. This isn't a part of the similarity metric. It's a decent idea, the only drawback being that you have to keep the means around. The effect is small at scale. But yes it would probably be a nice additional feature.
On Mon, Nov 26, 2012 at 9:32 PM, Paulo Villegas <[email protected]> wrote: > But once you have similarities computed, then you go on and use them to > predict the rating for unknown items. It's this rating prediction the > place in which mean centering (or, to be more general, rating > normalization) is not done and could be done. >
