Machine learning based email time recommendation engine

Abstract

A machine learning based computing method for computing optimal time for sending email, is disclosed. The machine learning based computing method includes steps of: receiving inputs from second users; extracting data associated with the first users and the second users from databases, based on the inputs received from the second users; computing electronic mail feature scores based on the extracted data associated with the first users and the second users, for each specified interval of contact prediction window; computing first user electronic mail scores for each specified interval of the contact prediction window based on the electronic mail feature scores for each specified interval of the contact prediction window, using a machine learning model; and computing at least one of: the optimal times and a prioritized list of the optimal times by ranking each specified interval of the contact prediction window associated with the first user electronic mail scores.