Posted On: Dec 16, 2022
We are excited to announce that HAQM Personalize has extended limits to support datasets with up to 100 million users and 3 billion interactions. HAQM Personalize enables developers to improve customer engagement through personalized product and content recommendations – no ML expertise required. HAQM Personalize trains custom models for each customer using their unique data. Previously, these models could consider up to 50 million users in training. By doubling this limit, HAQM Personalize improves model performance for large customers by allowing them to train on a more diverse set of data. For customers with larger user bases that may exceed this limit, HAQM Personalize samples an optimal set of users before training. Previously, models trained by HAQM Personalize would also consider a maximum of 500 million of the latest interactions between users and items. Customers now have the option to increase their training time to consider up to 3 billion interactions. This can improve model performance by capturing more historical data for customers with a large user base or a high velocity of interactions. To increase the number of interactions considered by your model, simply request a service quota increase via the Service Quota console.
HAQM Personalize enables you to personalize your website, app, ads, emails, and more, using the same machine learning technology used by HAQM, without requiring any prior machine learning experience. To get started with HAQM Personalize, visit our documentation.