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A/B testing is an experiment where a random e-commerce platform user is given two versions of a variable: a control group and a treatment group, to discover the optimal version that maximizes conversion. When running A/B testing, you can take the Multi-Armed Bandit optimisation approach to minimise the loss of conversion due to low performance. In the traditional software development process, Multi-Armed Bandit (MAB) testing and rolling out a new feature are usually separate processes. The novel...