Getting started with a Domain dataset group
In this getting started tutorial you create a Domain dataset group for the VIDEO_ON_DEMAND domain, import interactions data from a CSV file, and create a recommender with the Top picks for you use case. Then you use the recommender to get personalized movie recommendations for a user. The tutorial uses historical data that consists of 100,000 movie ratings on 9,700 movies from 600 users.
To begin, complete the Getting started prerequisites and then depending on how you want to create Amazon Personalize resources, proceed to Getting started with a Domain dataset group (console), Getting started with a Domain dataset group (SDK for Python (Boto3)), Getting started with a Domain dataset group (SDK for Java 2.x), or Getting started with a Domain dataset group (SDK for JavaScript v3).
When you finish the getting started exercise, to avoid incurring unnecessary charges, follow the steps in Cleaning up resources to delete the resources you created.
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