[halflings]

> The technology looks at hundreds of signals that could indicate a booking is higher risk for this type of incident, like the duration of the trip the guest is trying to book, how far the listing is from their location, the type of listing they’re booking, and if the reservation is being made at the last-minute, among many more.

This is most likely a (simple) ML model trained on previous reports of such bookings.

Not newsworthy, but probably not a bunch of if-statements.

[passwordoops]

I'm betting it probably doesn't even exist or if does won't be implemented. Imagine the lawsuits from people who will be rejected? No, as someone mentioned above, it's pure PR to hop on the hype train, à la Q* a few weeks back

[dannyw]

> Airbnb brought in anti-party measures last NYE that saw thousands of people globally blocked from booking an entire home listing on the platform, including approximately 63,550 people in the United States, 13,200 in the UK, and 5,400 in Australia.

Generally speaking, unless you're in the EU, you won't be successful in suing a company that blocks you and doesn't provide a reason.

[eesmith]

Decision tree learning is a part of machine learning, which is a field of AI.

The result is a bunch of if-statements. ;)