# Is there a plan for elasticsearch to support LTR (learning to rank)

**URL:** <https://discuss.elastic.co/t/is-there-a-plan-for-elasticsearch-to-support-ltr-learning-to-rank/73150>\
**Category:** Elasticsearch\
**Created:** [January 30, 2017, 2:44am UTC](https://discuss.elastic.co/t/is-there-a-plan-for-elasticsearch-to-support-ltr-learning-to-rank/73150 "2017-01-30T02:44:52Z")\
**Posts on this page:** 6\
**Page:** 1

<div class="post-metadata">

**Author:** ![Sujith\_Joseph](https://avatars.discourse-cdn.com/v4/letter/s/6a8cbe/32.png) [@Sujith\_Joseph](https://discuss.elastic.co/u/Sujith_Joseph)\
**Post date:** [January 30, 2017, 2:44am UTC](https://discuss.elastic.co/t/is-there-a-plan-for-elasticsearch-to-support-ltr-learning-to-rank/73150/1 "2017-01-30T02:44:52Z")

</div>

Hi,  
Solr 6.4 enabled support for LTR machine learning model with the goal of improved search relevancy . I was wondering if elasticsearch or prelert will support this in future?

" Machine Learning:

Configurable Learning-To-Rank (LTR) support: upload feature definitions, extract feature values, upload your own machine learnt models and use them to rerank search results. " - from [http://lucene.apache.org/solr/news.html](http://lucene.apache.org/solr/news.html)  
-Sujith Joseph

---

<div class="post-metadata">

**Author:** ![spinscale](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/spinscale/32/25011_2.png) [@spinscale](https://discuss.elastic.co/u/spinscale)\
**Post date:** [January 31, 2017, 8:12am UTC](https://discuss.elastic.co/t/is-there-a-plan-for-elasticsearch-to-support-ltr-learning-to-rank/73150/3 "2017-01-31T08:12:13Z")

</div>

Hey,

I only took a very quick glance at the above link, and I do not think you will find this exact feature in Elasticsearch, but you should take a look at others which may offer ways to implement similar functionality.

You might want to take a look at [the rescore query](https://www.elastic.co/guide/en/elasticsearch/reference/5.1/search-request-rescore.html) as well as in this work in progress branch (which is not yet released) called [rank-eval](https://github.com/elastic/elasticsearch/tree/feature/rank-eval)

--Alex

---

<div class="post-metadata">

**Author:** ![Sujith\_Joseph](https://avatars.discourse-cdn.com/v4/letter/s/6a8cbe/32.png) [@Sujith\_Joseph](https://discuss.elastic.co/u/Sujith_Joseph)\
**Post date:** [February 1, 2017, 8:37am UTC](https://discuss.elastic.co/t/is-there-a-plan-for-elasticsearch-to-support-ltr-learning-to-rank/73150/4 "2017-02-01T08:37:19Z")

</div>

Thanks Alex. LTR provides a personalized relevancy experience per user. rank-eval seems like an alternative for NDCG based rank scorer implementation.

---

<div class="post-metadata">

**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, 9:53pm UTC](https://discuss.elastic.co/t/is-there-a-plan-for-elasticsearch-to-support-ltr-learning-to-rank/73150/5 "2017-02-14T21:53:42Z")

</div>

Hey @Sujith_Joseph in fact we just released a Learning to Rank plugin, you can read more in [this blog post](http://opensourceconnections.com/blog/2017/02/14/elasticsearch-learning-to-rank/). Here's the [github repo](https://github.com/o19s/elasticsearch-learning-to-rank).

---

<div class="post-metadata">

**Author:** ![Sujith\_Joseph](https://avatars.discourse-cdn.com/v4/letter/s/6a8cbe/32.png) [@Sujith\_Joseph](https://discuss.elastic.co/u/Sujith_Joseph)\
**Post date:** [February 14, 2017, 10:06pm UTC](https://discuss.elastic.co/t/is-there-a-plan-for-elasticsearch-to-support-ltr-learning-to-rank/73150/6 "2017-02-14T22:06:07Z")

</div>

Thanks for sharing, Doug. Great Work! Read about this is reddit today. You might also be interested in Vowpal Wabbit ([https://github.com/JohnLangford/vowpal\_wabbit/wiki/Learning-to-Search-Sub-System](https://github.com/JohnLangford/vowpal_wabbit/wiki/Learning-to-Search-Sub-System)), if you are looking for features to add to your ranklib based implementation.  
-Sujith

---

<div class="post-metadata">

**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\
**Post date:** [March 14, 2017, 10:06pm UTC](https://discuss.elastic.co/t/is-there-a-plan-for-elasticsearch-to-support-ltr-learning-to-rank/73150/7 "2017-03-14T22:06:37Z")

</div>

This topic was automatically closed 28 days after the last reply. New replies are no longer allowed.
