Gmail Smart Compose
Citations Over TimeTop 10% of 2019 papers
Abstract
In this paper, we present Smart Compose, a novel system for generating interactive, real-time suggestions in Gmail that assists users in writing mails by reducing repetitive typing. In the design and deployment of such a large-scale and complicated system, we faced several challenges including model selection, performance evaluation, serving and other practical issues. At the core of Smart Compose is a large-scale neural language model. We leveraged state-of-the-art machine learning techniques for language model training which enabled high-quality suggestion prediction, and constructed novel serving infrastructure for high-throughput and real-time inference. Experimental results show the effectiveness of our proposed system design and deployment approach. This system is currently being served in Gmail.
Related Papers
- → Serving Away From Home: How Deployments Influence Reenlistment(2002)19 cited
- → Understanding deployment from the perspective of those who have served(2016)5 cited
- → Research on Accelerating Application Technology of Centralized ERP System Based on HANA(2019)1 cited
- → Large-Scale Deployment of Tablet Computers in Brazilian Public Schools: Decisive Factors and an Implementation Model(2017)1 cited
- NATIONAL ITS PROGRAM PLAN : SYNOPSIS(1995)