A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
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Free · no card · unsubscribe anytimeA low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
metarank has 2.4k stars on GitHub. It has been forked 110 times. metarank is written mainly in Scala. It has been in active development since 2020. metarank is available under the Apache-2.0 license. Its main topics are automl, data-engineering, data-science, deep-learning.
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
metarank is an open-source project. It is released under the Apache-2.0 license.
Yes. metarank is free and open source — you can use, modify and self-host it.
metarank is available under the Apache-2.0 license.
metarank is written mainly in Scala.
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Measured from GitHub topics shared by both projects, weighted by how rare each topic is.