I see so it's more like picking some most-orthogonal subset of the vectors actually. I get it in principle I think. I also imagine the simple "anti-clustering" approach you mention works pretty well.
On Sun, Jun 21, 2009 at 9:23 PM, Ted Dunning<[email protected]> wrote: > Gram-Schmidt doesn't have to change vectors. You can view it as a way of > selecting from an infinite number of vectors in order to get an orthornormal > basis. The task of getting an interestingly diverse set of recommendations > is a bit different in that we only have a finite number of items to > recommend and in that orthonormality isn't really a concept. Another way to > look at it as greedy set-cover.
