AWS for Media & Entertainment

NAB Show 2024 Demo Showcase

Data Science & Analytics

Realtime Personalization for Publishing and News

The Realtime Personalization for Publishing and News demonstration showcases how news publishers can deliver personalized content recommendations based on user browsing history using Amazon Personalize and Amazon Bedrock. This functionality enables publishers to provide highly relevant and engaging news article suggestions, enhancing user experience and increasing reader engagement. This can lead to higher retention rates, increased pageviews, and can unlock new monetization opportunities for publishers through targeted advertising and premium content offerings.

Architecture

 Realtime Personalization for Publishing and News
Click image to zoom 🔍

Disclaimer

The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.

Meet with an AWS M&E specialist