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From Gökhan Çapan <>
Subject Re: Running mahout on hadoop
Date Thu, 15 Oct 2009 18:37:38 GMT
Ok, I also wonder what you think about the type of that implementation.

-Will it be an extesion to Taste? I mean Taste's current implementation will
remain same, also that will be added as an extra option.
-Or do you plan to migrate Taste to that style?

I am asking because I am also working on implementing that model creation
with known similarity metrics, like log-likelihood similarity.

On Thu, Oct 15, 2009 at 9:29 PM, Sean Owen <> wrote:

> Agree, and no that does not exist yet. I suppose I have temporarily paused
> thinking about it until 0.20.x sorts out these issues.
> On Oct 15, 2009 11:21 AM, "Gökhan Çapan" <> wrote:
> Sorry, i've sent last post accidently.
> The question was not about which version of hadoop it uses.
> Let me explain,
> I think we all agree that item based recommendation is a 2 step process.
> 1-compute item-item similarities
> 2-create recommendations to a specific user for an item
> And, 1st step can be computed offline.
> If we want to compute all item-item similarities, it would be very good if
> that computation had a map-reduce implementation.
> I remember we had a discussion about making this computation with a matrix
> based approach and its potential of being distributable. I think that will
> be a very good extension for taste.
> On Thu, Oct 15, 2009 at 9:12 PM, Gökhan Çapan <> wrote: >
> I
> mean, > > On Thu, Oct...
> --
> Gökhan Çapan

Gökhan Çapan

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