Smart Reply: Automated Response Suggestion for Email
Venue
Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) (2016).
Publication Year
2016
Authors
Anjuli Kannan, Karol Kurach, Sujith Ravi, Tobias Kaufman, Balint Miklos, Greg Corrado, Andrew Tomkins, Laszlo Lukacs, Marina Ganea, Peter Young, Vivek Ramavajjala
BibTeX
Abstract
In this paper we propose and investigate a novel end-to-end method for
automatically generating short email responses, called Smart Reply. It generates
semantically diverse suggestions that can be used as complete email responses with
just one tap on mobile. The system is currently used in Inbox by Gmail and is
responsible for assisting with 10% of all mobile responses. It is designed to work
at very high throughput and process hundreds of millions of messages daily. The
system exploits state-of-the-art, large-scale deep learning. We describe the
architecture of the system as well as the challenges that we faced while building
it, like response diversity and scalability. We also introduce a new method for
semantic clustering of user-generated content that requires only a modest amount of
explicitly labeled data.
