A/B testing, multi-armed bandits, contextual bandits, and custom trained models each need an order of magnitude more data than the last. Here's how to tell which rung your traffic actually supports.
We compared Epsilon-Greedy, UCB1 and Thompson Sampling on convergence speed, regret, tuning and real-world suitability, then shipped only one of them. Here is the reasoning, and what you configure instead.
A practical introduction to multi-armed bandit algorithms for website optimization. Learn how bandits balance exploration and exploitation to maximize conversions without wasting traffic.