The Elasticsearch Learning to Rank plugin uses machine learning to improve search relevance ranking. It's powering search at places like Wikimedia Foundation and Snagajob.

Features

  • Allows you to store features (Elasticsearch query templates) in Elasticsearch
  • Documentation available
  • Logs features scores (relevance scores) to create a training set for offline model development
  • Stores linear, xgboost, or ranklib ranking models in Elasticsearch that use features you've stored
  • Ranks search results using a stored model
  • You can also participate in regular trainings on Elasticsearch Learning to Rank

Project Samples

Project Activity

See All Activity >

Categories

Machine Learning

License

Apache License V2.0

Follow elasticsearch-learning-to-rank

elasticsearch-learning-to-rank Web Site

Other Useful Business Software
Build Data Resilience - Take the Assessment Today Icon
Build Data Resilience - Take the Assessment Today

Can you recover when it matters most? Take this quick assessment to identify gaps and build greater recovery confidence.

Is your recovery strategy as strong as you think? Take this quick self-assessment to check your recovery readiness and gain tailored insights. In only 2 minutes, you'll learn where you fall on the recovery readiness scale.
Take the Assessment
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of elasticsearch-learning-to-rank!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Java

Related Categories

Java Machine Learning Software

Registered

2024-08-19