Metarank is a service that can personalize any type of content: product listings, articles, recommendations and search results in 3 easy steps with a few lines of code. It’s often considered "too risky" to spend 6+ months on an in-house moonshot project to reinvent the wheel without an experienced team and no existing open-source tools. Metarank makes it easy not only for Amazon to do personalization but for everyone else. Ingest historical item listings, clicks and item metadata so Metarank can find hidden dependencies in the data using our simple JSON format.No Machine Learning experience is required, run our CLI tool with a set of features in a YAML configuration. Run Metarank API service, feed it with real-time events and receive a personalized ranking for your items that will boost conversion, click-through rate or any other business-critical metric you define.
Features
- Train the Machine Learning model
- Load historical data
- It just needs a YAML definition of your events and data to work
- YAML based format for describing events metadata and feature extractors
- Strict JSON schema for events & metadata messages
- Command-line interface for data import, model training and model serving
- Local mode: try it out without deploying it to a cluster
Project Samples
