AdaptEx: A Self-Service Contextual Bandit Platform
August 08, 2023 Β· Declared Dead Β· π ACM Conference on Recommender Systems
"No code URL or promise found in abstract"
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Authors
William Black, Ercument Ilhan, Andrea Marchini, Vilda Markeviciute
arXiv ID
2308.08650
Category
cs.IR: Information Retrieval
Cross-listed
cs.AI,
cs.LG
Citations
3
Venue
ACM Conference on Recommender Systems
Last Checked
4 months ago
Abstract
This paper presents AdaptEx, a self-service contextual bandit platform widely used at Expedia Group, that leverages multi-armed bandit algorithms to personalize user experiences at scale. AdaptEx considers the unique context of each visitor to select the optimal variants and learns quickly from every interaction they make. It offers a powerful solution to improve user experiences while minimizing the costs and time associated with traditional testing methods. The platform unlocks the ability to iterate towards optimal product solutions quickly, even in ever-changing content and continuous "cold start" situations gracefully.
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