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Pavel Dmitriev
Researcher at Microsoft
Publications - 44
Citations - 1003
Pavel Dmitriev is an academic researcher from Microsoft. The author has contributed to research in topics: A/B testing & Web page. The author has an hindex of 15, co-authored 43 publications receiving 849 citations. Previous affiliations of Pavel Dmitriev include Cornell University & Yahoo!.
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Proceedings ArticleDOI
The evolution of continuous experimentation in software product development: from data to a data-driven organization at scale
TL;DR: This paper, based on an exhaustive and collaborative case study research in a large software-intense company with highly developed experimentation culture, presents the evolution process of moving from ad-hoc customer data analysis towards continuous controlled experimentation at scale.
Proceedings ArticleDOI
Using annotations in enterprise search
TL;DR: This paper proposes two ways to obtain user annotations, using explicit and implicit feedback, and shows how they can be integrated into a search engine.
Proceedings ArticleDOI
A Dirty Dozen: Twelve Common Metric Interpretation Pitfalls in Online Controlled Experiments
TL;DR: This paper shares twelve common metric interpretation pitfalls, illustrating each pitfall with a puzzling example from a real experiment, and describes processes, metric design principles, and guidelines that can be used to detect and avoid the pitfall.
Proceedings ArticleDOI
Measuring Metrics
Pavel Dmitriev,Xian Wu +1 more
TL;DR: By applying a data driven approach to metric evaluation at Bing, the system is able to substantially improve its metrics and, as a result, ship better features and improve search experience for Bing's users.
Journal ArticleDOI
Experimentation growth: Evolving trustworthy A/B testing capabilities in online software companies
Aleksander Fabijan,Pavel Dmitriev,Colin McFarland,Lukas Vermeer,Helena Holmström Olsson,Jan Bosch +5 more
TL;DR: This four‐stage model addresses the seven critical aspects of experimentation and can help companies to transform their organizations into learning laboratories where new ideas can be tested with scientific accuracy and lead to better products and services.