We invite software engineers, designers, analysts, service or product managers — beginners, advanced specialists, and researchers — to learn how to make web service development data-driven and do it effectively.
— Online evaluation and basics of mathematical statistics
— Foundations of main evaluation methods, such as A/B testing, interleaving, and observational studies
— Case studies: constructing an experimentation pipeline and evaluation metrics; best practices and common pitfalls
— State-of-the-art techniques, including those based on machine learning, for efficient online experimentation
— Open problems and current challenges for research scientists
Detailed program for
— Tutorial at TheWebConf2018
— Tutorial at KDD2018
— Tutorial at SIGIR2019