How LotteON built dynamic A/B testing for their personalized recommendation system
Machine Learning Blog
This article discusses how LotteON, an online shopping platform, implemented dynamic A/B testing for their personalized recommendation system using AWS services like Amazon SageMaker and AWS Lambda.
Specifically, the article covers:
- Defining the business problem and the need for dynamic A/B testing to optimize recommendations in real-time
- The solution architecture involving components like API Gateway, Lambda, Amazon EMR, and MongoDB
- Implementation details for the MAB serving flow using API Gateway and Lambda
- Updating alpha and beta parameters for the Thompson sampling algorithm using Amazon EMR
- Business metrics monitoring using Streamlit dashboard
- System operation monitoring using CloudWatch and AWS X-Ray
- Conclusion highlighting the benefits of dynamic A/B testing for LotteON
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