Christine Poerschke commented on SOLR-8542:

And another quick note for the log here to say that i have snapshot the 
[updated pull request|https://github.com/apache/lucene-solr/pull/40] to 
https://github.com/apache/lucene-solr/tree/jira/solr-8542-v2 branch and updated 
the LEGAL-276 ticket re: the thus changed understanding as far as any potential 
patent concerns go.

> 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
>            Assignee: Christine Poerschke
>            Priority: Minor
>         Attachments: SOLR-8542-branch_5x.patch, 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].
> [Read through the 
> README|https://github.com/bloomberg/lucene-solr/tree/master-ltr-plugin-release/solr/contrib/ltr]
>  for a tutorial on using the plugin, in addition to how to train your own 
> external model.

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