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From "Joshua Pantony (JIRA)" <j...@apache.org>
Subject [jira] [Created] (SOLR-8542) Integrate learning to rank into Solr
Date Wed, 13 Jan 2016 19:56:39 GMT
Joshua Pantony created SOLR-8542:
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             Summary: 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


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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