New AWS Solution: Maintaining Personalized Experiences using Machine Learning
We are pleased to announce the launch of the Maintaining Personalized Experiences with Machine Learning, an AWS Solutions Implementation that provides end-to-end automation and scheduling for your Amazon Personalize resources. This solution keeps your item and user data current and manages re-training for your models to ensure that recommendations are kept up-to-date with recent user activity and to retain their relevance for your users. This solution publishes Amazon Personalize model offline metrics to Amazon CloudWatch to provide a directional sense of the quality of your models over time.
We are pleased to announce the launch of the Maintaining Personalized Experiences with Machine Learning, an AWS Solutions Implementation that provides end-to-end automation and scheduling for your Amazon Personalize resources. This solution keeps your item and user data current and manages re-training for your models to ensure that recommendations are kept up-to-date with recent user activity and to retain their relevance for your users. This solution publishes Amazon Personalize model offline metrics to Amazon CloudWatch to provide a directional sense of the quality of your models over time.
To learn more about the Maintaining Personalized Experiences with Machine Learning solution, see the AWS Solutions Implementation webpage.
Additional AWS Solutions are available on the AWS Solutions Implementation webpage, where customers can browse solutions by product category or industry to find AWS-vetted, automated, turnkey reference implementations that address specific business needs.