# Elasticsearch Learning to Rank 1.0 Released **URL:** \ **Category:** Community Ecosystem\ **Created:** [January 24, 2018, 1:07pm UTC](https://discuss.elastic.co/t/elasticsearch-learning-to-rank-1-0-released/116869 "2018-01-24T13:07:24Z")\ **Posts on this page:** 2\ **Page:** 1
**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:** [January 24, 2018, 1:07pm UTC](https://discuss.elastic.co/t/elasticsearch-learning-to-rank-1-0-released/116869/1 "2018-01-24T13:07:24Z")
The final 1.0 of [Elasticsearch Learning to Rank has been released](http://www.prweb.com/releases/2018/01/prweb15115014.htm)! This plugin drives search an Wikipedia, the #5 site on the web, as well as Snagajob, the largest US hourly job marketplace. Thanks so much to the community that helped find issues during the release candidate process! More information here - [Project on Github](http://github.com/o19s/elasticsearch-learning-to-rank) - [Book/Guide on Readthedocs](http://elasticsearch-learning-to-rank.readthedocs.io/en/latest/) Cheers! -Doug Turnbull, Author [Relevant Search](http://manning.com/books/relevant-search) [CTO, OpenSource Connections](http://o19s.com/doug) > **[Elasticsearch 'Learning to Rank' Released, Bringing Open Source AI to Search...](http://www.prweb.com/releases/2018/01/prweb15115014.htm)** > > CHARLOTTESVILLE, Virginia (PRWEB) January 24, 2018 -- OpenSource Connections, Snagajob, and Wikimedia Foundation bring cutting edge open source ‘cognitive search’ techniques in Elasticsearch to push past the toughest search relevance challenges. ---
**Author:** ![warkolm](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/warkolm/32/39224_2.png) [@warkolm](https://discuss.elastic.co/u/warkolm)\ **Post date:** [June 23, 2020, 6:03am UTC](https://discuss.elastic.co/t/elasticsearch-learning-to-rank-1-0-released/116869/2 "2020-06-23T06:03:53Z")