History

Christine Poerschke 50ed729459 Remove unused (private static final) loggers in LTRQParserPlugin and LTRFeatureLoggerTransformerFactory.		2017-04-05 11:52:34 +01:00
..
example	SOLR-8542: changed Solr Reference Guide section references from "Result Reranking" to "Learning To Rank"	2017-01-12 17:56:18 +00:00
src	Remove unused (private static final) loggers in LTRQParserPlugin and LTRFeatureLoggerTransformerFactory.	2017-04-05 11:52:34 +01:00
README.md	SOLR-8542: changed Solr Reference Guide section references from "Result Reranking" to "Learning To Rank"	2017-01-12 17:56:18 +00:00
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: