{"repo":"o19s/elasticsearch-learning-to-rank","free":true,"listed":false,"github":"https://github.com/o19s/elasticsearch-learning-to-rank","clone":"git clone https://github.com/o19s/elasticsearch-learning-to-rank.git","description":"Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch","language":"Java","stars":1522,"topics":["elasticsearch","relevant-search","machine-learning","search-relevance","elasticsearch-plugin","elasticsearch-plugins"],"license":"Apache-2.0","category":"machine-learning","readme_excerpt":"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! What this plugin does... This plugin: - Allows you to store features (Elasticsearch query templates) in Elasticsearch - 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 Where's the docs? We recommend taking time to read the docs. There's quite a bit of detailed information about learning to rank basics and how this plugin can ease learning to rank development. You can also participate in regular trainings on Elasticsearch Learning to Rank, which support the free work done on this plugin. I want to jump in! The demo lives in another repo now, Hello LTR and it has both ES and Solr example. Follow the directions for Elasticsearch in the README to set up the environment and start with the notebooks/elasticsearch/tmdb/hello-ltr.ipynb.ipynb). Have fun! Installing See the full list of prebuilt versions and select the version that matches your Elasticsearch version. If you don't see a version available, see the link below for building or file a request via issues. To install, you'd run a command like this but replacing with the appropriate prebuilt version zip: ./bin/elasticsearch-plugin install https://github.com/o19s/elastics","default_branch":null,"files":null,"tree":[],"storefront":"/r/o19s","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/o19s/elasticsearch-learning-to-rank/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}