Modeling Time to Open of Emails with a Latent State for User Engagement Level

Published in ACM International Conference on Web Search and Data Mining (WSDM) Accepted, 2017

Recommended citation: Moumita Sinha, Vishwa Vinay, and Harvineet Singh. "Modeling Time to Open of Emails with a Latent State for User Engagement Level." ACM International Conference on Web Search and Data Mining (WSDM), 2018. https://drive.google.com/file/d/1QvfZnvT-WWxWHbd0x2uGRfKdc0saLTdL/view

In email marketing, it is typical to observe moderate to very low open rates among customers. We consider the problem of predicting whether a customer will open an email and how much time will be taken for opening the email. Survival analysis offers a framework to model time to event data where event in our case corresponds to an email being opened. A mixture model based approach is used that accounts for the low open rate characteristic of email data.

Download preprint here

Bibtex:

@inproceedings{sinha2018modeling,
title={Modeling Time to Open of Emails with a Latent State for User Engagement Level},
author={Sinha, Moumita and Vinay, Vishwa and Singh, Harvineet},
booktitle={Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining},
pages={531--539},
year={2018},
organization={ACM}
}