Amazon Personalize launches new recipes supporting larger item catalogs with lower latency
Machine Learning Blog
The article announces the general availability of two new advanced recipes in Amazon Personalize, User-Personalization-v2 and Personalized-Ranking-v2, built on the Transformers architecture to support larger item catalogs with lower latency.
Specifically, the article covers:
- Benefits of the new recipes, including enhanced scalability, lower latency, performance optimization, returning item metadata in inference responses, and highly automated operations
- Solution overview and steps to train a model using the new recipes and get recommendations
- Dataset preparation, model training, and getting recommendations with the User-Personalization-v2 recipe
- Cleanup of resources
- Conclusion highlighting the improvements offered by the new recipes
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