公开(公告)号：US20190213476A1

公开(公告)日：2019-07-11

申请号：US15867169

申请日：2018-01-10

Applicant: Adobe Inc.

Inventor： Harvineet Singh ,  Sahil Garg ,  Neha Banerjee ,  Moumita Sinha ,  Atanu Sinha

IPC: G06N3/08

CPC classification number: G06N3/08

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for determining and applying digital content transmission times using machine-learning. For example, in one or more embodiments, the disclosed system trains a recurrent neural network based on past electronic messages for a user that have been partitioned into a plurality of time bins. Additionally, in one or more embodiments, the system utilizes the trained recurrent neural network to generate predictions of engagement metrics (e.g., a hazard metric based on survival analysis or interaction probability metric) for sending a new electronic message within the plurality of time bins. The system then executes the digital content campaign by selecting a time bin based on the predicted engagement metrics and then sending the new electronic message at a send time corresponding to the selected time bin.