mlsanityData to 7 Oct 2026

AdaptEx: A Self-Service Contextual Bandit Platform

arXiv 2308.08650 ↗First posted 8 Aug 2023cs.IR cs.AI cs.LGcited by 1

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 5 of its 23 references that are in the map. First posted on arXiv 8 Aug 2023.

Builds on

5 of 23 references.

References · 5

  1. 2017A Tutorial on Thompson Samplingcited by 420
  2. 2021Reinforcement learning based recommender systems: A surveycited by 187
  3. 2021Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discriminationcited by 53
  4. 2016Cascading Bandits for Large-Scale Recommendation Problemscited by 45
  5. 2018Thompson Sampling Algorithms for Cascading Banditscited by 13

Built on by

Cited by year

Citing papers per year: 2024: 1.

1 paper.