Getting started with a Domain dataset group - Amazon Personalize
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Getting started with a Domain dataset group

This getting started guide shows you how to create a Domain dataset group and domain resources with the Amazon Personalize console. You create Domain dataset group for the VIDEO_ON_DEMAND domain, import interactions data, and create and use recommenders for VIDEO_ON_DEMAND use cases to get personalized movie recommendations.

For information on using the Amazon SDK for Python (Boto3) see Getting started with a Domain dataset group (SDK for Python (Boto3)).

Getting started with a Domain dataset group (SDK for Python (Boto3))

To get started creating Domain dataset groups with Jupyter notebooks, clone or download a series of notebooks found in the notebooks_managed_domains folder of the Amazon Personalize samples repository. The notebooks walk you through importing training data, creating a recommender, and getting recommendations with Amazon Personalize.

Note

Before starting with the notebooks, make sure to build your environment following the steps in the README.md