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https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Christine Poerschke updated SOLR-8542:
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Description:
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].
----
Solr Reference Guide documentation:
* https://cwiki.apache.org/confluence/display/solr/Result+Reranking
Source code and README files:
*
[solr/contrib/ltr|https://github.com/apache/lucene-solr/blob/master/solr/contrib/ltr]
*
[solr/contrib/ltr/example|https://github.com/apache/lucene-solr/blob/master/solr/contrib/ltr/example]
was:
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].
---
Solr Reference Guide documentation:
* https://cwiki.apache.org/confluence/display/solr/Result+Reranking
Source code and README files:
*
[solr/contrib/ltr|https://github.com/apache/lucene-solr/blob/master/solr/contrib/ltr]
*
[solr/contrib/ltr/example|https://github.com/apache/lucene-solr/blob/master/solr/contrib/ltr/example]
> 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
> Fix For: master (7.0), 6.4
>
> 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].
> ----
> Solr Reference Guide documentation:
> * https://cwiki.apache.org/confluence/display/solr/Result+Reranking
> Source code and README files:
> *
> [solr/contrib/ltr|https://github.com/apache/lucene-solr/blob/master/solr/contrib/ltr]
> *
> [solr/contrib/ltr/example|https://github.com/apache/lucene-solr/blob/master/solr/contrib/ltr/example]
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