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Through Vega Content Personalization, Amazon Fire TV provides a personalized experience to customers and showcases relevant content from your apps. Here’s an overview of the Content Personalization API, along with its data requirements. To understand the data types used for this integration, see Data Type Reference. For a step-by-step integration guide, see Get stared with Vega Content Personalization. For the API details, see Content Personalization APIs.

Customer experience improvements

Sharing customer activity with Fire TV through the Content Personalization API enables customers to discover more personalized movie and TV show content. By providing information on watch activity, DVR recordings, and purchases, Fire TV is able to help the customer more easily resume in-progress content, and make more accurate recommendations for new movies and TV shows. Below are a few examples of these features.

Continue Watching row

Based on a customer’s watch history, the Continue Watching row shows in-progress movies and TV shows as well as new episodes of a previously completed series.
Continue Watching row

Continue Watching row

Video recommendations

With rows such as Next Up For You, Fire TV provides recommendations of movies and TV shows for the customers to watch across different streaming apps. These recommendation rows use the shared customer watch history to make more accurate predictions for what content the customer may enjoy.
Next Up for You row

Next Up for You row

Customer opt-in

Customers choose whether they want to opt in or out of sharing their viewing and content information through the Content Personalization API.

Data requested

The Content Personalization API uses the following data types. See Data Type Reference for a complete breakdown of the data requested.
最終更新日 2026年10月19日