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From "Joshua Pantony (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr
Date Wed, 13 Jan 2016 20:04:40 GMT

     [ https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Joshua Pantony updated SOLR-8542:
---------------------------------
    Description: 
This is a ticket to integrate learning to rank machine learning models into Solr. Solr Learning
to Rank (LTR) provides a way for you to extract features directly inside Solr for use in training
a machine learned model. You can then deploy that model to Solr and use it to rerank your
top X search results. This concept was previously presented by the authors at Lucene/Solr
Revolution 2015 ( http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp
).

The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, and Diego Ceccarelli.

Any chance this could make it into a 5x release? We've also attached documentation as a github
MD file, but are happy to convert to a desired format.


  was:
This is a ticket to integrate learning to rank machine learning models into Solr. Solr Learning
to Rank (LTR) provides a way for you to extract features directly inside Solr for use in training
a machine learned model. You can then deploy that model to Solr and use it to rerank your
top X search results. This concept was previously presented by the authors at Lucene/Solr
Revolution 2015 ( {http://www.slideshare.net/lucidworks/learning-to-rank-in-
solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp} ) .

The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, and Diego Ceccarelli.

Any chance this could make it into a 5x release? We've also attached documentation as a github
MD file, but are happy to convert to a desired format.



> Integrate Learning to Rank into Solr
> ------------------------------------
>
>                 Key: SOLR-8542
>                 URL: https://issues.apache.org/jira/browse/SOLR-8542
>             Project: Solr
>          Issue Type: New Feature
>            Reporter: Joshua Pantony
>            Priority: Minor
>         Attachments: README.md, SOLR-8542-trunk.patch
>
>
> This is a ticket to integrate learning to rank machine learning models into Solr. Solr
Learning to Rank (LTR) provides a way for you to extract features directly inside Solr for
use in training a machine learned model. You can then deploy that model to Solr and use it
to rerank your top X search results. This concept was previously presented by the authors
at Lucene/Solr Revolution 2015 ( http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp
).
> The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, and Diego
Ceccarelli.
> Any chance this could make it into a 5x release? We've also attached documentation as
a github MD file, but are happy to convert to a desired format.



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