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From Dmitriy Lyubimov <>
Subject Re: Recommeding on Dynamic Content
Date Tue, 01 Feb 2011 20:27:51 GMT
There's also a paper from Yahoo! research "Regression-based Latent Factor

What i like about this is that it doesn't focus on a particular method to
combine the models to regress on static profile data + side info. I think it
might be combined with methods ALS-WS  which unlke SGD are
hadoop-parallelizable to do stage computations. It also serves pretty good
in situations when there are dyadic interactions but different types
interaction context (side info) are available (or sometimes none at all) but
static profile information is always available. I think we'll have to get on
this problem pretty soon .

On Tue, Feb 1, 2011 at 8:24 AM, Ted Dunning <> wrote:

> And the Mahout-525 github branch of mahout that I started has an apparently
> working version for this algorithm.
> I would love to support anyone who wants to do last mile work on that
> stuff.
> See for more info
> On Tue, Feb 1, 2011 at 1:52 AM, Sean Owen <> wrote:
> > That Elkan / Menon paper has an elegant theoretical formulation of a
> > recommender that uses both ratings and side info at the same time.
> >

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