Provide a personalized experience for news readers using Amazon Personalize and Amazon Titan Text Embeddings on Amazon Bedrock
Machine Learning Blog
This article describes how to provide personalized news recommendations to readers using Amazon Personalize, Amazon Titan Text Embeddings on Amazon Bedrock, and other AWS services. It outlines a solution for recommending breaking news articles to interested users within seconds of publication.
Specifically, the article covers:
- Solution overview and workflow
- Prerequisites and setup
- Creating text embeddings and training a clustering model
- Setting up a DynamoDB table for breaking news articles
- Creating a user personalization campaign in Amazon Personalize
- Delivering curated and personalized breaking news recommendations
- Keeping recommendations up-to-date based on user interactions
- Clean up steps for deleting the created resources
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The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.