Drive Quick Access at KDD 2017

Our paper, "Quick Access: Building a Smart Experience for Google Drive" was accepted for presentation at KDD 2017. The development of the Quick Access feature illustrates many general challenges and constraints associated with practical machine learning such as protecting user privacy, working with data services that are not designed with machine-learning in mind, and evolving product definitions. We believe that the lessons learned from this experience will be useful to practitioners tackling a wide range of applied machine-learning problems. We're looking forward to sharing this with the KDD community.