Use AWS Data Exchange to Improve Amazon Personalize Recommendations | Amazon Web Services

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In this video, you’ll see how to use AWS Data Exchange to improve Amazon Personalize recommendations. With this solution, you can leverage third-party data sets from AWS Data Exchange to train an Amazon Personalize machine learning model that builds contextualized recommendations for use in consumer-facing applications.

For more information on this topic, please visit the resource(s) below:

AWS CLI command to Programmatically set up automatic exports - https://go.aws/3vq3pNG

Contextual recommendations launch: https://go.aws/3vmu3Ho

Contextual recommendations blog: https://go.aws/3Q341CD

Contextual recommendations with ADX: https://go.aws/3vo5wl5

Github Sample: https://go.aws/3Q4tOdG

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#AWSDataExchange #ADX #AmazonPersonalize #AWSCLI #AWS #AmazonWebServices #CloudComputing
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Amazon Web Services
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AWS, Amazon Web Services, Cloud
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