A Probabilistic Model for Personalized Email Timing

This paper introduces a method for determining the best time to send emails to individual users, increasing the likelihood that they will open and engage with the content. It uses a probabilistic model that considers each user's past email interaction behavior to predict optimal send times, thereby improving email marketing campaign effectiveness by delivering messages when they are most likely to be noticed.