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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