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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
Categories
Machine LearningLicense
Apache License V2.0Follow elasticsearch-learning-to-rank
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