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https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15098670#comment-15098670
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Christine Poerschke commented on SOLR-8542:
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Hello Joshua, Michael and Diego. Thanks for your patch for this new feature.
Just to say that i've started taking a look at yesterday's
SOLR-8542-trunk.patch and have three simple observations so far, in no
particular order:
* Many of the lines in {{solr/contrib/ltr/README.txt}} are very long. Having
said that, I do not know what the recommended maximum line length for README
files is and am perhaps just using the wrong browser or editor to read.
* Binary diff for {{solr/contrib/ltr/test-lib/jcl-over-slf4j-1.7.7.jar}} seems
to form part of the patch, unintentionally so probably.
* Running {{ant validate}} after applying to patch locally points out 'tabs
instead of spaces' and 'invalid logging pattern' for some of the files.
(The https://en.wikipedia.org/wiki/Learning_to_rank page mentioned in the
README.txt for reading up on learning to rank will be my commute reading.)
> 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: README.md, 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
> ).
> 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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