
Booking.com Data Science
The Data Science and Machine learning blog of Booking.com

Dima Goldenberg
Machine Learning @ Booking.com

Sonya Liberman
Leading applied Machine Learning teams. Especially enjoy bringing theory to production and bridging the gap between business needs and technological solutions.

Maud Schwoerer
Data Scientist at Booking.com

Felipe Moraes
Machine Learning Scientist at Booking.com. PhD in Information Retrieval at TU Delft. Ex-Amazon Alexa.
Latest Posts

Highlights of Booking.com publications in 2024
At Booking.com, our mission is to make experiencing the world easier for everyone. We are committed to investing in cutting-edge technology…

Tune Smarter, Not Harder: A Deep-Dive into Hyperparameter Tuning in Payment Fraud at Booking.com
Exploring how we boosted model performance and reduced training time in our payment fraud model by improving hyperparameter optimization
Booking.com’s publications at the 18th ACM conference on Recommender Systems
Booking.com’s mission is to make it easier for everyone to experience the world. We invest in technology that helps take the friction out…
Predicting cancellations with survival modeling
Within Booking.com, we have a long tradition of predicting reservation cancellation probability using machine learning models. Historically…
A recap of the Experimentation Conference 2024 at Booking.com
By Melanie Mueller and Jorden Lentze

Meta-experiments: Improving experimentation through experimentation
At Booking.com, we are proud of our data-driven culture. A hallmark of this is our extensive use of A/B testing everywhere in the company…
Raising the bar by lowering the bound
Why tackling overestimation is essential for product development

How good are your ML best practices?
by George Chouliaras, Kornel Kielczewski, Amit Beka, David Konopnicki and Lucas Bernardi

Booking.com @ KDD 2023
Booking.com contributions at the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining at Long Beach, CA, USA

Sequential Testing at Booking.com
Reliable and fast product decisions
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