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From "Christine Poerschke (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SOLR-8542) Integrate Learning to Rank into Solr
Date Fri, 09 Dec 2016 13:04:58 GMT

    [ https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15735258#comment-15735258
] 

Christine Poerschke commented on SOLR-8542:
-------------------------------------------

done:
 * master commit(s)
 * branch_6x commit(s)

next steps:
 * Solr Reference Guide documentation (https://cwiki.apache.org/confluence/display/solr/Internal+-+TODO+List
as starting point)
 * (to avoid duplication) reduce [solr/contrib/ltr/README.md|https://github.com/apache/lucene-solr/blob/master/solr/contrib/ltr/README.md]
content to point to the appropriate Solr Reference Guide section(s)


> 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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