Behind the buzzwords: how we build ML products at Booking.com

Hadas Harush
Apr 11 · 8 min read
The “Buzzwords Behive”
Booking.com search results page (not the latest version which currently exists on the website)
Google Match Score in Google Maps as an example for Hyper-personalization
Explicit feedback in Booking.com main page (“x” button in each card)
Tools for collecting users feedback across the product’s cycle
Tools for collecting users feedback represented in clusters
Example for A/B test in Booking.com’s notifications screen
Different images of the same hotel in Booking.com website

Booking Product

Stories from the Product people at Booking.com

Hadas Harush

Written by

Product Manager Data Science in Product Personalization team at Booking.com. Passionate for tech and travel and excited to create products which involve both.

Booking Product

Stories from the Product people at Booking.com