Today, we’re excited to announce the launch of personalized recommenders in Amazon Personalize that are optimized for retail and media and entertainment, making it even easier to personalize your websites, apps, and marketing campaigns. With this launch, we have drawn on Amazon’s rich experience creating unique personalized user experiences using machine learning (ML) to build recommenders for common personalization use cases. Use cases optimized recommendation solutions deliver personalized experiences for your users that consider the metrics that matter most to your business, the preferences of your individual users, and where your users are being served a personalized experience within the user journey. You can quickly integrate recommenders into any application via easy-to-use APIs.
This post walks you through the process of creating a recommender and getting recommendations for your users.
New personalized recommenders
To realize the true potential of personalization, businesses need to tailor their content to the user journey.

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