Lunch Lecture Booking.com

Graph Theory for Fraud Detection at Booking.com - Rajat Saxena Conventional fraud detection has historically been centered around linear relationships between user indicators. The weak point of this setup is that we miss out on transitive relationships, which becomes an increasingly interesting factor when fraudsters reuse few overlapping indicators in new fraud attempts.
In this presentation we will show how we developed an in-house technological ecosystem that stores fraud attempts in graph format and leveraged state of the art algorithms to compute innovative graph features that enriches our existing fraud controls (ML models and static rules). Founded in 1996 in Amsterdam, Booking.com has grown from a small Dutch startup to one of the world’s leading digital travel companies. By investing in the technology that helps take the friction out of travel, Booking.com seamlessly connects millions of travelers with memorable experiences, a range of transport options and incredible places to stay – from homes to hotels and much more. Note: after subscribing, showing up is mandatory! There are 135 spots only with first come first serve, priority will be given to students that sign up with their GEWIS account.