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https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15773039#comment-15773039
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ASF subversion and git services commented on SOLR-8542:
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Commit b7c75a3a1c7524994cb2413afa82562e30eaadcb in lucene-solr's branch
refs/heads/branch_6x from [~cpoerschke]
[ https://git-wip-us.apache.org/repos/asf?p=lucene-solr.git;h=b7c75a3 ]
SOLR-8542: change default feature vector format (to 'dense' from 'sparse')
also: increase test coverage w.r.t. 'sparse' vs. 'dense' vs. 'default' feature
vector 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
> Assignee: Christine Poerschke
> Priority: Minor
> Attachments: SOLR-8542-branch_5x.patch, SOLR-8542-trunk.patch,
> SOLR-8542.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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