Posted On: May 30, 2023

We are excited to announce that Amazon Personalize now offers more flexibility in model training by allowing customers to select which columns in their datasets are used for training. Amazon Personalize enables developers to improve customer engagement through personalized product and content recommendations – no ML expertise required. Amazon Personalize uses data provided by customers to train custom models on their behalf. Previously, all columns in a customer’s dataset were considered during model training. Amazon Personalize now allows customers to exclude columns from training, making it easier to experiment with the data that is used to train models. With this new capability, customers now have the flexibility to filter on any of their data, regardless of whether it is used for training.

This new capability makes it easier for customers to create multiple model variations with different combinations of columns. This also provides new flexibility by allowing customers to filter on values that are not used at the the time of training.

Amazon Personalize enables you to personalize your website, app, ads, emails, and more, using the same machine learning technology used by Amazon, without requiring any prior machine learning experience. To get started with Amazon Personalize, visit our documentation.