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From Dmitriy Lyubimov <>
Subject Re: Evaluating Mahout's recommender support
Date Wed, 29 Dec 2010 19:40:19 GMT
Bayesian hierarchies, in short.

On Wed, Dec 29, 2010 at 11:37 AM, Dmitriy Lyubimov <>wrote:

> What i don't understand is why they locked themselves to log-linear model
> there in that paper.
> There's a Yahoo research paper around where they generalize the case for
> GLMs and do very similar thing. Except it doesn't have to be a log-linear
> and actually could be a two-pass learning using whatever techniques in each
> pass (as long as architecture allows to plug those models one into another).
> Intuitively i feel that the most promising approach is somethnig like
> incremental SVD (with first 20 or so items being soft-limited by logit) and
> perhaps using wieghted regularization learning side information parameters
> subsequently in minibatches for online learning.
> but yeah i think this is a most common recommender problem and yes i think
> Mahout lacks here. I was looking for a similar off-the-shelf solution for
> this some time ago as well and eventually had to resort to half-baked
> in-house solution as it wasn't much of a priority.
> Also i am still not quite sure what the best way to do input normalization
> for both continuous and nominal inputs together with existing framework.
> Last thing i heard was it is not working well together in existing SGD
> solution. But that's one of the most common problem and actually not so hard
> to solve. It's just one has to dig for a solution, i haven't found it in the
> docs anywhere even if it exists in Mahout. But i am fairly sure Mahout
> doesn't support hierarchical plugs at the moment at all.
> On Wed, Dec 29, 2010 at 10:36 AM, Ted Dunning <>wrote:
>> The latent factor log-linear work that I started, got to a barely working
>> state and then was unable to continue would provide hybrid
>> recommendations.
>> This is the MAHOUT-525
>> <>work that Sebastien
>> alluded to.
>> On Wed, Dec 29, 2010 at 9:49 AM, Andy Parsons <>
>> wrote:
>> > >> - What do you exactly mean by hybrid recommendations? Do you mean a
>> > >> combination of content based and collaborative filtering techniques?
>> > [ASP] Yes, precisely.

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