2007, Knowledge Discovery and Testing

Experiment design and modeling for long-term studies in ads

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

A/B testing is used widely in information technology companies to guide product development and improvements. For questions as disparate as website design and UI, prediction algorithms, or user flows within apps, live traffic tests help developers understand what works well for users and the business, and what doesn’t.

Modeling

Modeling Experimentation Knowledge Discovery Testing

Changing assignment weights with time-based confounders

The Unofficial Google Data Science Blog

JULY 22, 2020

Another reason to use ramp-up is to test if a website's infrastructure can handle deploying a new arm to all of its users. The website wants to make sure they have the infrastructure to handle the feature while testing if engagement increases enough to justify the infrastructure. We offer two examples where this may be the case.

Experimentation

Experimentation Statistics Testing Strategy

Data Leaders Brief

Experiment design and modeling for long-term studies in ads

Changing assignment weights with time-based confounders

Webinars

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