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From B Lyon <bradfl...@gmail.com>
Subject Re: Setting up a recommender
Date Wed, 31 Jul 2013 18:42:25 GMT
I'm interested in helping as well.
Btw I thought that what was stored in the solr fields were the llr-filtered
items (ids I guess) for the could-be-recommended things.
 On Jul 31, 2013 2:31 PM, "Andrew Psaltis" <Andrew.Psaltis@webtrends.com>
wrote:

> >Assuming I've got this right, does someone want to help with these?
> Pat -- I would be interested in helping in anyway needed. I believe Ted's
> tool is a start, but does not handle all the case envisioned in the design
> doc, although I could be wrong on this. Anyway I'm pretty open to helping
> wherever needed.
>
> Thanks,
> Andrew
>
>
>
>
>
> On 7/31/13 12:20 PM, "Pat Ferrel" <pat.ferrel@gmail.com> wrote:
>
> >A few architectural questions: http://bit.ly/18vbbaT
> >
> >I created a local instance of the LucidWorks Search on my dev machine. I
> >can quite easily save the similarity vectors from the DRMs into docs at
> >special locations and index them with LucidWorks. But to ingest the docs
> >and put them in separate fields of the same index we need some new code
> >(unless I've missed some Lucid config magic) that does the indexing and
> >integrates with LucidWorks.
> >
> >I imagine two indexes. One index for the similarity matrix and optionally
> >the cross-similairty matrix in two fields of type 'string'. Another index
> >for users' history--we could put the docs there for retrieval by user ID.
> >The user history docs then become the query on the similarity index and
> >would return recommendations. Or any realtime collected or generated
> >history could be used too.
> >
> >Is this what you imagined Ted? Especially WRT Lucid integration?
> >
> >Someone could probably donate their free tier EC2 instance and set this
> >up pretty easily. Not sure if this would fit given free tier memory but
> >maybe for small data sets.
> >
> >To get this available for actual use we'd need:
> >1-- An instance with an IP address somewhere to run the ingestion and
> >customized LucidWorks Search.
> >2-- Synthetic data created using Ted's tool.
> >3-- Customized Solr indexing code for integration with LucidWorks? Not
> >sure how this is done. I can do the Solr part but have not looked into
> >Lucid integration yet.
> >4-- Flesh out the rest of Ted's outline but 1-3 will give a minimally
> >running example.
> >
> >Assuming I've got this right, does someone want to help with these?
> >
> >Another way to approach this is to create a stand alone codebase that
> >requires Mahout and Solr and supplies an API something like the proposed
> >Mahout SGD online recommender or Myrrix. This would be easier to consume
> >but would lack all the UI and inspection code of LucidWorks.
> >
> >
> >
> >
>
>

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