Applications of Deep Learning to Ad Quality

OpenX Technologies Computer Science, 2018-19

Liaison(s): Chris Hallenbeck, Victor Lam, Larry Price
Advisor(s): Christopher Stone
Students(s): Monica Acosta, Diana Arreola, Adam Schulze (PM-S), Yun Zhang (PM-F)

OpenX powers the world’s largest independent ad exchange, connecting publishers and advertisers through real-time auctions. The goal of our project with OpenX is to improve advertisement labeling to provide publishers with more information during a real-time auction. Our Clinic team used computer vision and convolutional neural networks (CNNs) to detect the presence of the AdChoices logo, indicating whether advertisers follow certain privacy protocols. We also created a system to detect the brand(s) associated with an advertisement using text extraction and CNNs.