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

Hadas Harush
Apr 11, 2019 · 8 min read
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The “Buzzwords Behive”
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Booking.com search results page (not the latest version which currently exists on the website)
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Google Match Score in Google Maps as an example for Hyper-personalization
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Explicit feedback in Booking.com main page (“x” button in each card)
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Tools for collecting users feedback across the product’s cycle
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Tools for collecting users feedback represented in clusters
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Example for A/B test in Booking.com’s notifications screen
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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

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

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