Two Years of Bayesian Bandits for E-commerce

Date: April 18, 2019
Speaker: Austin Rochford
Title: Two Years of Bayesian Bandits for E-commerce
Abstract: At Monetate, we’ve deployed Bayesian bandits (both noncontextual and contextual) to help our clients optimize their e-commerce sites since early 2016. This talk is an overview of the lessons we’ve learned from both the processes of deploying real-time Bayesian machine learning systems at scale and building a data product on top of these systems that is accessible to non-technical users (marketers). This talk will cover:

  • The place of multi-armed bandits in the A/B testing industry,
  • Thompson sampling and the basic theory of Bayesian bandits,
  • Bayesian approaches for accommodating nonstationarity in bandit feedback,
  • User experience challenges in driving adoption of these technologies by nontechnical marketers.

We will focus primarily on noncontextual bandits and give a brief overview of these problems in the contextual setting as time permits.

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