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From B Lyon <>
Subject Re: Setting up a recommender
Date Sun, 21 Jul 2013 22:31:19 GMT
Paper and presentation are very interesting to me as well.  I am fairly new
to this, and coming to terms with some of the terms, etc.  I assume that
"action matrix" here is just the raw matrix of how each user has
"interacted with" the items/types-of-items.  I didn't quite get the
incorporation into SOLR (not familiar with that much, either), in
particular the "indexing" related to the generated (root LLR-based?)
co-occurence matrices for the different types of things so that it can be
used in searches - so, a real newbie question: how can the co-occurence
matrix be implemented as a search index in SOLR?  Just point me at the RTFM
docs is fine :)

On Sun, Jul 21, 2013 at 5:17 PM, Pat Ferrel <> wrote:

> Read the paper, and the preso.
> As to the 'offline to Solr' part. It sounds like you are suggesting an
> item item similarity matrix be stored and indexed in Solr. One would have
> to create the action matrix from user profile data (preference history), do
> a rowsimiarity job on it (using LLR similarity) and move the result to
> Solr. The first part of this is nearly identical to the current recommender
> job workflow and could pretty easily be created from it I think. The new
> part is taking the DistributedRowMatrix and storing it in a particular way
> in Solr, right?
> BTW Is there some reason not to use an existing real data set?
> On Jul 19, 2013, at 3:45 PM, Ted Dunning <> wrote:
> OK.  I think the crux here is the off-line to Solr part so let's see who
> else pops up.
> Having a solr maven could be very helpful.

BF Lyon

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