This preview documentation is deprecated as of October 27, 2023. For GA documentation, go to the Vertex AI Search documentation.
Changes in GA:
Name:Discovery for Media is renamed to Vertex AI Search for media. Vertex AI Search includes media recommendations and media search.
Google Cloud Console page: Use the Agent Builder page in the console. The Discovery Engine console page is deprecated.
API reference: Continue to use the discoveryengine.googleapis.com service. The API remains the same but the documentation has moved. Go to the up-to-date, GA version of the Discovery Engine API reference in the Vertex AI Search documentation.
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This documentation covers the public preview of Discovery for Media, which provides
Google-quality content recommendations on your digital properties to help
increase engagement using the Discovery for Media Recommendations service.
Media Recommendations is a real-time, personalized, content recommendation
service that leverages Google's AI/ML technology and scalable infrastructure. It
aims to help reduce the friction of delivering omnichannel experiences like
video streaming, short form videos, news, and music. Enable your audiences to
discover more personalized content, like what to watch or read next, with
Google-quality results customized by expressed optimization objectives.
Discovery Engine powers Discovery for Media. Use Discovery Engine API
and the Discovery Engine console to create and manage Discovery for Media
resources.
What makes Media Recommendations unique?
Discovery for Media offers experience, flexibility, personalization, scale, and
innovation:
One Google: Media customers benefit from Google's decades-long experience in
content discovery across our flagship products including Google Ads, Google
Search, Google Play, and YouTube.
Designed for media customers: Configuration options that customize for
specific needs offer flexibility and scalability to meet the high-performance
demands of online media consumption.
Optimized for each media customer: Media customers can personalize results
based on audience interaction and ranking models while optimizing to achieve
their business goals.
Planet-scale infrastructure: Media customers leverage Google's planet-scale
infrastructure to deliver real-time predictions to audiences around the world.
Google AI/ML: Google innovation in AI/ML capabilities provide fast,
high-quality recommendations that increase customer engagement, watch time,
and user retention.
What use cases are supported for Media Recommendations?
Primary use cases available for Public Preview include:
Video, news, article, music, and podcast recommendations on landing page and
category pages. These might include recommendations for users like
"Recommended For You", "Top Korean Dramas", or "Thrillers & Mysteries For
You".
Video, news, article, music, and podcast recommendations on content detail
pages, such as "More Like This", "You May Also Like", pre-rolls (trailers),
and spool-up (watch next) content.
Hero carousel recommendations.
Promotional marketing such as newsletters, SMS, in-app messaging, and push
notifications.
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