Customer Stories / Telecommunications
2021
PBS Drives Content Engagement Using a Recommendation Engine on Amazon Personalize
In this session, learn how Amazon Personalize enabled PBS to quickly implement a recommendation engine to drive engagement with PBS's trusted content, and understand how to apply the features of Amazon Personalize to other use cases.
America's Public Broadcasting Service (PBS) has over 330 member stations and reaches millions through television and online with diverse education and entertainment programming and applications. Using a data lake on Amazon Web Services (AWS) including Amazon Personalize, AWS Glue, and Amazon Simple Storage Service (Amazon S3), PBS increases viewer engagement with a recommendation engine that serves the most relevant content options to new and dedicated customers.
To learn more, watch the video below and visit aws.amazon.com/media.
With Amazon Personalize, just inserting a small set of viewers, videos, and interactions, we saw recommendations that stood up and could possibly scale. From there, we knew it was time to go a step further, do a real proof of concept, and establish an architecture that could plug in with our existing databases."
Mikey Centrella
Director of Product Management, Digital Innovation Team, PBS
AWS Services Used
Amazon Personalize
Create real-time personalized user experiences faster at scale
AWS Glue
Serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development
Amazon S3
Object storage built to retrieve any amount of data from anywhere
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