Amazon Personalize now supports resource tagging
Today we are announcing support for tagging of Amazon Personalize resources to help simplify organization and cost management of resources. Amazon Personalize enables developers to improve customer engagement through personalized product and content recommendations – no ML expertise required. Tags are labels in the form of key-value pairs that may be attached to individual Amazon Personalize resources to search and filter resources, or allocate costs. For example, if you have multiple campaigns that are linked to different use cases on your website, you can set key as “Website” and value as “Home Page” or “Details page” to understand individual spend for each of the two campaigns. This functionality also allows customers with multi-tenant deployments to track spend among their end customers. Tagging functionality is available for several Amazon Personalize resources such as dataset groups, solutions, campaigns, recommenders, import jobs, batch inference, batch segment jobs and other resources. For a complete list of the supported resources and to learn more on how to tag your Amazon Personalize resources, see the Amazon Personalize [Developer Guide](https://docs.aws.amazon.com/personalize/latest/dg/tagging-resources.html). Tagging support for [Amazon Personalize](http://docs.aws.amazon.com/personalize) resources is available in all Amazon Personalize regions. [Amazon Personalize](http://docs.aws.amazon.com/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](https://docs.aws.amazon.com/personalize/latest/dg/index.html).