InBooking.com Data SciencebyBooking.com Data ScienceThe Continuous Cold Start Problem in e-Commerce Recommender SystemsPublished in RecSys 2015 by Lucas Bernardi, Jaap Kamps, Julia Kiseleva and Melanie MuellerJun 14, 2018Jun 14, 2018
InBooking.com Data SciencebyTimo KluckUsing multivariant tests to determine performance impactWhen we introduce new features on our website, sometimes it’s not simply the behaviour of our users that changes. The behaviour of our own…Feb 23, 2016Feb 23, 2016
InBooking.com Data SciencebyMats EinarsenIs your A/B testing effort just chasing statistical ghosts?Controlling for repeated significance testing errors and false positive rates in commercial A/B testing is often perceived as a bit of a…Apr 19, 2013Apr 19, 2013
InBooking.com Data SciencebySimon JacksonHow Booking.com increases the power of online experiments with CUPEDSimon Jackson |Data Scientist at Booking.comJan 22, 201815Jan 22, 201815
InBooking.com Data SciencebyBooking.com Data ScienceMediation Analysis in Online Experiments at Booking.com: Disentangling Direct and Indirect Effectsby Tolga Oztan, Zoé van Havre, Caio Gomes, Lukas VermeerNov 1, 2018Nov 1, 2018