Machine Learning in Usability Testing
It’s an elegant idea I haven’t run into before: gather data on site preferences by selecting what version to present on the epsilon-greedy solution to the multi-armed bandit problem and just letting it run. You’re looking at a setting where effectiveness can be easily measured, such as by clickthrough, but the contrast is with A/B testing where the effect of a single change is being measured for a time and then a switch is being made, if desirable. Comments suggest tweaks/details like ensuring that a single visitor sees a consistent view of the site, at least for small windows of … Continue reading Machine Learning in Usability Testing