Picking this old thread a little bit...

I was wondering: is there a way to reduce task of ALS with regularization
(or even ALS-WR) to a mathematical definition of reduced rank SVD?

If somehow i could work in a regularization under the SSVD hood, that would
solve most of iterative ills i think... But since i haven't seen math
around for it, i assume it is not very practical or even possible?

Thanks.
-d


On Thu, Nov 17, 2011 at 12:38 PM, Sebastian Schelter <[email protected]> wrote:

> I think Dmitriys description of the SGD and ALS-WR approach hits the
> nail on the head.
>
> However there is a third way to factorize the rating matrix which we
> haven't talked about yet. It's described in Yehuda Koren's
> "Collaborative Filtering for Implicit Feedback Datasets"
> http://research.yahoo.com/pub/2433 and I recently added it to
> ParallelALSFactorizationJob.
>
> This approach works on implicit feedback data (like the number of
> times a user watched a television series) and all unobserved
> interactions are by definition 0. Using a standard SVD would result in
> the problems Dmitriy described.
>
> But the paper introduces a very interesting approach: the user-item
> matrix holds 0s and 1s only (0 in a cell if there have been no
> interactions, 1 if there have been 1 or more interactions). This
> matrix is decomposed into two other matrices X and Y (user and item
> features) by minimizing the (regularized) squared error over all
> observations (which is the same as in ALS-WR). However the error is
> weighted by a confidence value that is very low if the user never
> interacted with the item (because he simply might not be aware that
> this item exists) and very high if the user interacted very often with
> the item (a good indication of preference). That should help to avoid
> the problems that Dmitriy described.
>
> --sebastian
>
>
> 2011/11/17 Dmitriy Lyubimov <[email protected]>:
> > On Thu, Nov 17, 2011 at 11:30 AM, Dmitriy Lyubimov <[email protected]>
> wrote:
> >> I will finish adding an option with Cholesky decomposition route to
> >> SSVD some time early in Q1 2012.
> >>
> >
> > PPS i already put some jobs in (they are in the trunk) for Cholesky
> > route. I thought it would be an easy mod but then i saw that it would
> > require a little bit more modifications to also support power
> > iterations the same way they are supported today (and also i still
> > kind of couldn't quite finish my thought process on what it would take
> > to modify U-job to produce U without Q in his case, it seems this
> > route will require a 100% special handling and i wouldn't be able to
> > reuse any of current U job for this option.
> >
> > For these reasons, i decided to wait until i figure all of the
> > remaining issues architecturally before i proceed. And that would
> > better be a one longer chunk of time rather than several little
> > chunks, which makes it dependent more on my schedule to figure where
> > that chunk might be.
> >
>

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