Amazon Personalize enables developers to build applications with the same machine learning (ML) technology used by Amazon.com for real-time personalized recommendations—no ML expertise required. Amazon Personalize makes it easy for developers to build applications capable of delivering a wide array of personalization experiences, including specific product recommendations, personalized product re-ranking, and customized direct marketing. Besides applications in retail and ecommerce, other common use cases for Amazon Personalize include recommending videos, blog posts, or newsfeeds based on users’ activity history.
What if you wanted to recommend users of common interest to connect with each other? As the pandemic pushes …
Attendee matchmaking at virtual events with Amazon Personalize
"The Power of AI in Business and Entrepreneurship: Unlocking Opportunities and Driving Success"
"The Power of AI: Revolutionizing Business and Empowering Entrepreneurs"
Optimize your inference jobs using dynamic batch inference with TorchServe on Amazon SageMaker
Graph-based recommendation system with Neptune ML: An illustration on social network link prediction...