Provides a conceptual overview of Amazon Personalize, includes detailed instructions for using the various features, and provides a complete API reference for developers.
AWS Solutions: Maintaining Personalized Experiences with Machine Learning
This solution streamlines and accelerates the development and deployment of your personalization workloads through end-to-end automation and scheduling of updates for resources within the Amazon Personalize service. It provides ready-to-deploy solutions assembling AWS Services, code, and configurations. Learn more.
In this demo, see how to accelerate time-to-market using pre-built recommenders for common business use cases. Simply select the recommenders for your use case(s) and Personalize does the heavy lifting of using ML to generate recommendations that you access through an easy-to-use API. Demo now.
In this demo, see how to use Amazon Personalize to create content recommendations tailored to individual consumers. What you generate can be derived from user actions, including recommendations and viewing activity. Demo now.
In this demo, you’ll see how to perform A/B testing with Amazon Personalize and Amazon CloudWatch Evidently. With this capability, you can orchestrate A/B tests to compare different recommendation engine solutions and make informed design decisions. Watch now.
In this demo, you’ll see how to accelerate time-to-market using pre-built recommenders for common business use cases. You simply select the recommenders for your use case(s) and Personalize does the heavy lifting of using Machine Learning to generate recommendations that you access through an easy-to-use API. Demo now.
Deep Dive Series
This Amazon Personalize Deep Dive series will walk you through the various ways in which you can understand your Amazon Personalize data and use the service to bring value to your customers.
Unlock the full potentional of personalization with machine learning
Machine learning can help organizations deliver highly personalized user experiences at scale resulting in improvements in customer engagement, conversion, and revenue. In this webinar, we illustrate the value of integrating real-time personalization into your existing websites, apps, and marketing communications using Amazon Personalize. We’ll also share how customers in Retail and Media & Entertainment have elevated key business metrics like user engagement, click-through-rates, and products purchased using personalization. Lastly, we will walk you through getting started with Amazon Personalize using code samples and a fun, interactive movie recommendation demo.
Customize your recommendations by promoting specific items using business rules with Amazon Personalize
by Anna Gruebler, Alex Burkleaux, and Liam Morrison, 08/15/22
Improve the return on your marketing investments with intelligent user segmentation in Amazon Personalize
by Dan Foley, Debarshi Raha, Ge Liu, Haizhou Fu, and Yifei Ma, 11/29/22
Using A/B testing to measure the efficacy of recommendations generated by Amazon Personalize
by Luis Lopez Soria, 08/20/2020
Selecting the right metadata to build high-performing recommendation models with Amazon Personalize
by Andrew Hood and Ion Kleopas, 09/24/2020
Amazon Personalize now supports dynamic filters for applying business rules to your recommendations on the fly
by Matthew Chwastek, Parth Pooniwala, and Samuel Ashman, 11/13/2020
Pay only for what you use, and there are no minimum fees and no upfront commitments.
Instantly get access to the AWS Free Tier.
Get started building with Amazon Personalize in the AWS management Console.