Machine learning based contact time recommendation engine

Abstract

A machine learning based computing method for computing optimal contact times for contacting first users including debtors, is disclosed. The machine learning based computing method includes: receiving inputs from second users including debt collectors; extracting data associated with the first users and the second users from databases, based on the inputs received from the second users; computing contact feature scores based on the extracted data associated with the first users and the second users, for each specified interval of a contact prediction window; computing first user call scores for each specified interval of the contact prediction window based on the contact feature scores for each specified interval of the contact prediction window, using a machine learning model; and computing the optimal contact times and a prioritized list of the optimal contact times by ranking each specified interval of the contact prediction window associated with the first user call scores.