shagunsodhani

Smart Reply: Automated Response Suggestion for Email

Introduction

• Proposes a novel, end-to-end architecture for generating short email responses.
• Single most important benchmark of its success is that it is deployed in Inbox by Gmail and assists with around 10% of all mobile responses.
• Link to the paper.

Challenges in deploying Smart Reply in a user-facing product

kampta

# -*- coding: utf-8 -*-
"""
Improving approximate nearest neighbour search with k-nearest neigbors.
Using sklearn-KDTree here just for demonstration. You can plugin much faster
nearest neigbour search implementations (flann, annoy to name a few) for 
better results. For benchmarks, check out:
1) Radim Řehůřek (author of gensim) -
    http://rare-technologies.com/performance-shootout-of-nearest-neighbours-intro
2) Erik Bernhardsson (author of annoy) - 
    https://github.com/erikbern/ann-benchmarks