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

551
30.6
Опубликовано 30 декабря 2022, 0:58
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 - go.aws/3vq3pNG

Contextual recommendations launch: go.aws/3vmu3Ho

Contextual recommendations blog: go.aws/3Q341CD

Contextual recommendations with ADX: go.aws/3vo5wl5

Github Sample: go.aws/3Q4tOdG

Subscribe:
More AWS videos - bit.ly/2O3zS75
More AWS events videos - bit.ly/316g9t4

ABOUT AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.

#AWSDataExchange #ADX #AmazonPersonalize #AWSCLI #AWS #AmazonWebServices #CloudComputing
автотехномузыкадетское