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