Amazon Personalize now supports starting and stopping recommenders
Amazon Personalize now gives you more control over your resources by allowing you to stop and start recommenders. Amazon Personalize enables developers to improve customer engagement through personalized product and content recommendations – no ML expertise required. A recommender is a resource that is optimized for specific use cases, such as “Frequently bought together” for Retail and “Top picks for you” for Media and Entertainment. Stopping the recommender when not in use moves it to an inactive state without having to delete the recommender. Starting moves it to an active state, resuming where you left off without having to recreate the recommender resource. For example, during testing phase, you might need to get recommendations only for a few days. You can stop the recommender when you don’t need it, and then start the recommender again at any time to resume recommendation requests. There are no usage charges for a stopped recommender.
Amazon Personalize now gives you more control over your resources by allowing you to stop and start recommenders. Amazon Personalize enables developers to improve customer engagement through personalized product and content recommendations – no ML expertise required. A recommender is a resource that is optimized for specific use cases, such as “Frequently bought together” for Retail and “Top picks for you” for Media and Entertainment. Stopping the recommender when not in use moves it to an inactive state without having to delete the recommender. Starting moves it to an active state, resuming where you left off without having to recreate the recommender resource. For example, during testing phase, you might need to get recommendations only for a few days. You can stop the recommender when you don’t need it, and then start the recommender again at any time to resume recommendation requests. There are no usage charges for a stopped recommender.
You can stop/start a recommender with single click on the Amazon Personalize console, or through AWS Command Line Interface (AWS CLI) / AWS SDKs. For more information on how to start or stop a recommender, see the Amazon Personalize Developer Guide.
Amazon Personalize enables you to personalize your website, app, ads, emails, and more, using the same machine learning technology as used by Amazon, without requiring any prior machine learning experience. To get started with Amazon Personalize, visit our documentation.