Impersonation: Modeling Persona in Smart Responses to Email

TL;DR

This paper introduces a personalized email response suggestion system that models user persona and context to generate responses that mimic individual styles, enhancing productivity and personalization.

Contribution

It presents a novel approach to modeling user persona and context for personalized email response generation, integrating multimodal responses.

Findings

Effective personalization of email responses achieved

Model captures user style and context accurately

Responses include text and audio modes

Abstract

In this paper, we present design, implementation, and effectiveness of generating personalized suggestions for email replies. To personalize email responses based on users style and personality, we model the users persona based on her past responses to emails. This model is added to the language-based model created across users using past responses of the all user emails. A users model captures the typical responses of the user given a particular context. The context includes the email received, recipient of the email, and other external signals such as calendar activities, preferences, etc. The context along with users personality (e.g., extrovert, formal, reserved, etc.) is used to suggest responses. These responses can be a mixture of multiple modes: email replies (textual), audio clips, etc. This helps in making responses mimic the user as much as possible and helps the user to be more productive while retaining her mark in the responses.