Amazon Payments uses contextual multi-armed bandits to optimize customer acquisition funnels
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According to the AWS Machine Learning Blog, Amazon Payments adopted a multi-objective contextual multi-armed bandit algorithm (LinUCB) on Amazon SageMaker AI to personalize content selection across its product acquisition funnel, improving acquisition conversion. This report is currently the only public information on the event, describing its technical approach: using contextual multi-armed bandits to dynamically select content at each stage of the funnel, achieving multi-objective optimization. There are no follow-up developments to report yet.
AI overview of reporting · Updated 17 days ago
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- AWS Machine Learning BlogUplifting conversion across the acquisition funnel with personalization using contextual bandits on AWS
Amazon Payments uses multi-objective contextual multi-armed bandits (LinUCB) on Amazon SageMaker AI to personalize content selection across its product acquisition funnel.