What 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 Machine Learning Tools category of a tech stack.
Metarank is an open source tool with 2K GitHub stars and 77 GitHub forks. Here’s a link to Metarank's open source repository on GitHub
Who uses Metarank?
Kubernetes, Redis, Kafka, JSON, and YAML are some of the popular tools that integrate with Metarank. Here's a list of all 7 tools that integrate with Metarank.
- Built-in feature store to compute features used for online and offline training
- REST API, Kafka, Apache Pulsar connectors to receive events and metadata updates
- Offline and online (real-time personalization) operation modes
- Explain mode to understand how final ranking is computed
- Local mode to run Metarank locally without deploying to a cluster
- Cloud native: deploy Metarank to Kubernetes or AWS
Metarank Alternatives & Comparisons
What are some alternatives to Metarank?
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