Amazon Personalize can now unlock intrinsic signals in your catalog to recommend similar items

Today, we're excited to announce a new similar items recommendation recipe (aws-similar-items) in Amazon Personalize that helps you leverage your users' interaction histories and what you know about the items in your catalog to deliver relevant recommendations. Across Amazon, we provide personalized experiences for each of our users, and based on a user's interests, we change their experiences and the items they see. Visitors are often recommended items that users with similar histories have interacted with. These recommendations are called similar items, and they help users discover items relevant to what they're watching or purchasing. By taking into account the item a user is engaged with, we can improve engagement and conversion.