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Contextual Bandit

A multi-armed bandit that conditions arm choice on observable context features (time, audience, device).

Last updated: 2026-06-10

Definition

Vanilla MAB picks the same arm regardless of who's looking. Contextual MAB conditions on context: 'the best creative for a Mumbai user on iOS at 8 PM might differ from a Bangalore user on Android at 10 AM.' Used by journey-orchestration systems to personalize variant selection per audience cohort.

How it applies in India

No India-specific behavior.

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