Adobe Inc.
Utilizing a recommendation system approach to determine electronic communication send times

Last updated:

Abstract:

The present disclosure relates to systems, methods, and non-transitory computer readable media for determining send times for distributing digital content to client devices utilizing a recommendation system approach. For example, the disclosed systems can utilize a recommendation system model such as a matrix factorization model, a factorization machine model, and/or a neural network to implement collaborative filtering to generate predicted response rates for particular candidate send times. Based on the predicted response rates indicating likelihoods of receiving responses for particular send times, the disclosed system can generate a distribution schedule to provide electronic communications at one or more of the send times.

Status:
Grant
Type:

Utility

Filling date:

9 Sep 2019

Issue date:

15 Jun 2021