UTILIZING A RECOMMENDATION SYSTEM APPROACH TO DETERMINE ELECTRONIC COMMUNICATION SEND TIMES
Patent №
US 11,038,976
Granted
2021-06-15
Filed 2019
Owner
ADOBE INC
Lab
—
AI components
5
ml · kr · planning · evo · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
16564768
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.
AI classification
Ownership
ADOBE INC
assignment · 503180445
Assignors
LIU, XINYUE, HE, JUN, YAN, ZHENYU, DAI, WUYANG, PANI, ABHISHEK
On an employer assignment, the assignors are typically the inventors.