Loading...

Detecting and Mitigating Fraud in Realtime at Scale - Eric Levine, Engineering Manager, Airbnb

2,959 views

Loading...

Loading...

Transcript

The interactive transcript could not be loaded.

Loading...

Loading...

Rating is available when the video has been rented.
This feature is not available right now. Please try again later.
Published on Jul 31, 2015

The presentation is to show how Airbnb's Trust and Safety team has built machine learning infrastructure from the ground up to catch and defuse fraudsters on the platform. This talk will briefly go through the history of the machine learning platform from its very basic roots to the advanced system that is in place today. We find that by taking a tightly coupled, naïve implementation to a well-factored, cleanly separated systems, we can individually tune each component to decrease the cycle between bad behavior to well-performing model to catch said behavior, and how we could leverage that introspection to enable realtime detection of issues at scale. Further, by empowering data science to explore new features independently from engineering efforts, we are able to reduce the time from feature conception to production implementation.

Loading...

When autoplay is enabled, a suggested video will automatically play next.

Up next


to add this to Watch Later

Add to

Loading playlists...