Features and benefits - Maintaining Personalized Experiences with Machine Learning

Features and benefits

The Maintaining Personalized Experiences with Machine Learning solution accelerates the development and deployment of personalization workloads by leveraging the functionalities of the Amazon Personalize service and streamlining production and maintenance of Amazon Personalize solutions.

It provides end-to-end automation for Amazon Personalize through the entire lifecycle of a workload, and its features include:

  • Automating the creation of Amazon Personalize recommenders, solutions, and solution versions to baseline model performance (by comparing user-configured model offline metrics over time).

  • Presenting the results in an Amazon CloudWatch dashboard.

  • Automating the scheduled retraining and update of Amazon Personalize solution versions to assess their performance over time, as typical personalization workloads benefit from full model retraining every one to five days.

  • Automating the scheduled creation of batch recommendations and batch user segmentation.

  • Integration with AWS Service Catalog AppRegistry and Application Manager, a capability of AWS Systems Manager. This solution includes a Service Catalog AppRegistry resource to register the solution’s CloudFormation template and its underlying resources as an application in both Service Catalog AppRegistry and Application Manager. With this integration, you can centrally manage the solution’s resources and enable application search, reporting, and management actions.