October 26, 2018

Airbnb details its journey to AI-powered search


Researchers at the company describe how they implemented a sophisticated neural network in Airbnb’s web and mobile app to improve the relevance of search results.

The report follows on the heels of Airbnb’s in-house AI system that turns design sketches into product source code, and its machine learning-powered language system that translates listing reviews into guests’ native languages.

Airbnb doesn’t rely on just one AI system. It taps an “ecosystem” of algorithms that predict the likelihood a host will accept a guest’s request for booking, and that a guest will rate a trip or experience highly.

They’re trained with user interactions - searches are logged, and every model has access to them. And new models, once trained, are tested to see whether they achieve a statistically significant increase in bookings.

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