Discover how Learning To Rank (LTR) can help you to improve your search ranking and how to implement it in Elasticsearch.

Understanding relevance features and how to build a  scoring function

Scoring in the Elasticsearch Query DSL

Hello Learning To Rank (LTR)!

Getting started with LTR in Elasticsearch

Train and deploy an LTR model to Elasticsearch

Use your LTR model as a rescorer in Elasticsearch

Try LTR yourself!?

LTR uses a trained machine learning (ML) model to build a ranking function for your search engine. Typically, the model is used as a second stage re-ranker, to improve the relevance of search results returned by a simpler, first stage retrieval algorithm.

What is Learning To Rank (LTR)?

Elasticsearch Learning to Rank (LTR): Improving search ranking

Introducing Learning To Rank (LTR) in Elasticsearch

Author

Aurélien Foucret

Articles

Introducing Learning To Rank (LTR) in Elasticsearch