This particular part of the algorithm can be seen as similar to a least squares problem that might normally be solved by QR. I don't think that the updates are quite the same, however.
On Tue, Jan 8, 2013 at 3:10 PM, Sebastian Schelter <[email protected]> wrote: > This factorization is iteratively refined. In each iteration, ALS first > fixes the item-feature vectors and solves a least-squares problem for > each user and then fixes the user-feature vectors and solves a > least-squares problem for each item. >
