Lessons Learned Running RL Recommendation at Scale in Physical Retail Setting at Starbucks
On Demand
Type
- Session
Format
- Virtual
Track
- Industry and Business Use Cases
Difficulty
- Intermediate
Duration
- 40 min
Overview
Change in QSR state from static boards to dynamic and contextualized recommendation. The brain behind the system connects the Starbucks brand and culture with state-of-the-art AI techniques. Review some of the tactics and lessons learnt by running an RL algorithm and deep item collaborative filtering in production over a year.
Session Speakers
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