[
https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15959506#comment-15959506
]
Christine Poerschke commented on SOLR-8542:
-------------------------------------------
Hi Varun,
https://cwiki.apache.org/confluence/display/solr/Learning+To+Rank has a {{Quick
Start Example}} using the {{techproducts}} example which is included in the
solr binary distribution. The {{solr/contrib/ltr/example}} content is
intentionally not included in the binary distribution but it is (as you say)
available in the git repo.
> 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: 6.4, master (7.0)
>
> Attachments: SOLR-8542-branch_5x.patch, SOLR-8542.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].
> ----
> Solr Reference Guide documentation:
> * https://cwiki.apache.org/confluence/display/solr/Learning+To+Rank
> 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]
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]