# Elasticsearch Learning to Rank Plugin Released

**URL:** <https://discuss.elastic.co/t/elasticsearch-learning-to-rank-plugin-released/75113>\
**Category:** Community Ecosystem\
**Created:** [February 14, 2017, 9:29pm UTC](https://discuss.elastic.co/t/elasticsearch-learning-to-rank-plugin-released/75113 "2017-02-14T21:29:17Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![softwaredoug](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/softwaredoug/32/22681_2.png) [@softwaredoug](https://discuss.elastic.co/u/softwaredoug)\
**Post date:** [February 14, 2017, 9:29pm UTC](https://discuss.elastic.co/t/elasticsearch-learning-to-rank-plugin-released/75113/1 "2017-02-14T21:29:17Z")

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Hey everyone, I wanted to let you know we've been working on an [Elasticsearch Learning to Rank plugin](https://github.com/o19s/elasticsearch-learning-to-rank) as announced in this [blog post](http://opensourceconnections.com/blog/2017/02/14/elasticsearch-learning-to-rank)

What is Learning to Rank? Learning to Rank uses machine learning to build self-learning search systems. With enough work, a learning to rank solution can self-learn relevance based on user behavior. You may have heard recently that Bloomberg released a [learning to rank plugin for Solr](https://issues.apache.org/jira/browse/SOLR-8542). This plugin brings comparable functionality to Elasticsearch. It comes in two parts:

- A script plugin for accepting learning to rank models (in this case models generated by the library [Ranklib](https://sourceforge.net/p/lemur/wiki/RankLib/))
- An ltr query used to rescore top N results using the learning to rank model

There's a full example included in the [scripts](https://github.com/o19s/elasticsearch-learning-to-rank/tree/master/scripts) directory, as walked through in detail in the [blog post](http://opensourceconnections.com/blog/2017/02/14/elasticsearch-learning-to-rank/).

As always, feedback on our contribution would be very valuable. We'll be writing a lot more about using Learning to Rank with Elasticsearch in the weeks and months ahead.

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**Author:** ![KodrAus](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/kodraus/32/22798_2.png) [@KodrAus](https://discuss.elastic.co/u/KodrAus)\
**Post date:** [February 21, 2017, 12:39am UTC](https://discuss.elastic.co/t/elasticsearch-learning-to-rank-plugin-released/75113/3 "2017-02-21T00:39:54Z")

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A couple of guys were talking about this internally and I haven't really seen a proper LambdaMART implementation so I'll definitely check it out 👍

Thanks for sharing!

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**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\
**Post date:** [July 5, 2017, 9:46pm UTC](https://discuss.elastic.co/t/elasticsearch-learning-to-rank-plugin-released/75113/5 "2017-07-05T21:46:24Z")

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