I would hope that your SVD implementation would not be limited to NetFlix like problems, but would be applicable to any reasonably sparse matrix-like data.
Likewise, I would expect a good SVD implementation to be useful for nearest neighbor methods or direct prediction by smoothing the history vector. On Tue, Mar 31, 2009 at 11:09 PM, Atul Kulkarni <[email protected]>wrote: > I have worked with Netflix Prize problem and hence most of my suggested > algorithms revolve around that problem. But I am open to other algorithms > that might be out there. Is this a good thing to do? > -- Ted Dunning, CTO DeepDyve
