November 13, 2018
Booking.com’s alternative accommodations listings surge
In the third quarter, Booking.com reported having 21% more global alternative accommodations listings than it reported having in the same quarter last year.Read more
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.
Get the full story at VentureBeat
Visit our sponsors: