History

Christine Poerschke 708ed8fb48 TestRerankBase.getModelInJson to permit empty features array.		2017-09-11 12:47:44 -07:00
..
example	SOLR-10494: Make default response format JSON (wt=json), and also indent text responses formats (indent=on) by default	2017-07-24 08:42:02 -07:00
src	TestRerankBase.getModelInJson to permit empty features array.	2017-09-11 12:47:44 -07:00
README.md	SOLR-11135: Update Ref Guide links in READMEs, config files and UI	2017-07-21 21:06:43 -05:00
README.txt	SOLR-8542: Adds Solr Learning to Rank (LTR) plugin for reranking results with machine learning models. (Michael Nilsson, Diego Ceccarelli, Joshua Pantony, Jon Dorando, Naveen Santhapuri, Alessandro Benedetti, David Grohmann, Christine Poerschke)	2016-11-01 17:50:14 +00:00
build.xml	SOLR-8542: Adds Solr Learning to Rank (LTR) plugin for reranking results with machine learning models. (Michael Nilsson, Diego Ceccarelli, Joshua Pantony, Jon Dorando, Naveen Santhapuri, Alessandro Benedetti, David Grohmann, Christine Poerschke)	2016-11-01 17:50:14 +00:00
ivy.xml	SOLR-8542: Adds Solr Learning to Rank (LTR) plugin for reranking results with machine learning models. (Michael Nilsson, Diego Ceccarelli, Joshua Pantony, Jon Dorando, Naveen Santhapuri, Alessandro Benedetti, David Grohmann, Christine Poerschke)	2016-11-01 17:50:14 +00:00

README.md

Welcome to Apache Solr Learning to Rank!

Apache 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.

Getting Started With Solr Learning To Rank

For information on how to get started with solr ltr please see:

Solr Reference Guide's section on Learning To Rank

Getting Started With Solr

For information on how to get started with solr please see:

How To Contribute

For information on how to contribute see: