Booking.com Data Science

The Data Science and Machine learning blog of Booking.com

Editors
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

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

Booking.com @ RecSys 2022

Booking.com’s publications at the 16th ACM conference on Recommender Systems

How to stop wasting time fixing broken machine learning pipelines

Let me set the scene: it’s Monday morning, and you just came back from a relaxing weekend. You turn on your laptop, excited to get back to…

Encouraged to comply

Improving bounds with Instrumental Variables

Term Structure of Bookings

An offbeat modeling application that analogises yield curves of bonds at different maturity dates to hotel bookings at different book…

Partial Blockout Experiments for a Two Sided Marketplace

Experimenting on both sides of the marketplace simultaneously

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