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arXiv · 1906.00080

Gmail Smart Compose: Real-Time Assisted Writing

Mia Xu Chen·Benjamin N Lee·Gagan Bansal·Yuan Cao·Shuyuan Zhang·Justin Lu·Jackie Tsay·Yinan Wang·Andrew M. Dai·Zhifeng Chen·Timothy Sohn·Yonghui Wu
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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.

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Mia Xu Chen, Benjamin N Lee, Gagan Bansal, Yuan Cao, Shuyuan Zhang, Justin Lu, Jackie Tsay, Yinan Wang, Andrew M. Dai, Zhifeng Chen, Timothy Sohn, Yonghui Wu. 2019-05-17. Gmail Smart Compose: Real-Time Assisted Writing. https://arxiv.org/abs/1906.00080

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