How Booking.com increases the power of online experiments with CUPED
Simon Jackson |Data Scientist at Booking.com An update from the author... I'm humbled that this article has been, and continues to be, a foundational resource for so many teams around the world. I've since moved on from Booking.com and writing on Medium. Find me on LinkedIn here to say hi or read my latest articles at hypergrowthdata.com/blog Thank you and I hope this continues to be useful for yo
150 successful machine learning models: 6 lessons learned at Booking.com | the morning paper
the morning paper a random walk through Computer Science research, by Adrian Colyer Made delightfully fast by strattic 150 successful machine learning models: 6 lessons learned at Booking.com Bernadi et al., KDD’19 Here’s a paper that will reward careful study for many organisations. We’ve previously looked at the deep penetration of machine learning models in the product stacks of leading compani
KDD 2019 | 150 successful Machine Learning models: 6 lessons learned at Booking.com
150 successful Machine Learning models: 6 lessons learned at Booking.com Booking.com is the world’s largest online travel agent where millions of guests find their accommodation and millions of accommodation providers list their properties including hotels, apartments, bed and breakfasts, guest houses, and more. During the last years we have applied Machine Learning to improve the experience of ou
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(PDF) Online Controlled Experimentation at Scale: An Empirical Survey on the Current State of A/B Testing
Democratizing online controlled experiments at Booking.com
