That's correct. Well you just have to recompose the user row you are interested in. It will no longer be sparse, at all. Those new values are your estimated ratings.
On Fri, Aug 26, 2011 at 12:07 AM, Jeff Hansen <[email protected]> wrote: > > I also think I may have missed a big step of the puzzle. For some reason I > thought that just by loosening the rank, you could recompose the Matrix A > from the truncated SVD values/vectors and use the recomposed values > themselves as the recommendation. I thought one of the ideas was that the > recomposed matrix had less "noise" and could be a better representation of > the underlying nature of the matrix than the original matrix itself. But > that may have just been wishful thinking... > >
