Maintaining Personalized Experiences with Machine Learning
Overview
Maintaining Personalized Experiences with Machine Learning helps you build custom Amazon Personalize experiences for your product portfolio, including custom recommendation models at scale. This AWS Solution streamlines and accelerates the development and deployment of your personalization workloads through automation and scheduled updates for resources within Amazon Personalize.
Benefits
Automate resource creation
Automate the creation of all resources in Amazon Personalize upfront to save on time and costs.
Build recommendation models
Define and build recommendation models automatically by declaring their configuration.
Integrate Amazon Personalize workflows
Integrate workflows around Amazon Personalize into your applications.
How it works
You can automatically deploy this architecture using the implementation guide and the accompanying AWS CloudFormation template.
About this deployment
Version: v1.5.0
Released: 10/2025
Author: AWS
Est. deployment time: 5 mins
Estimated cost: See details
Deploy with confidence
Everything you need to launch this AWS Solution in your account is right here
We'll walk you through it
Get started fast. Read the implementation guide for deployment steps, architecture details, cost information, and customization options.
Let's make it happen
Ready to deploy? Open the CloudFormation template in the AWS Console to begin setting up the infrastructure you need. You'll be prompted to access your AWS account if you haven't yet logged in.
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