MetarankWhat is Metarank?
It makes it easy to personalize any listing: recommendations, articles, and search results. Developers make one reranking API call, and Metarank takes care of ML feature updates, model training, and improving target goals like CTR/conversion.
Metarank is a tool in the Development & Training Tools category of a tech stack.
Key Features
Built-in feature store to compute features used for online and offline trainingREST API, Kafka, Apache Pulsar connectors to receive events and metadata updatesOffline and online (real-time personalization) operation modesExplain mode to understand how final ranking is computedLocal mode to run Metarank locally without deploying to a clusterCloud native: deploy Metarank to Kubernetes or AWS
Metarank Pros & Cons
Pros of Metarank
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Cons of Metarank
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Metarank Alternatives & Comparisons
What are some alternatives to Metarank?
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scikit-learn
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