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.

Machine learningKnowledge representationPlanningEvolutionary computationAI hardwareG06F 16/9535H04L 67/55G06F 16/24575G06N 3/04G06N 3/045G06N 3/0499G06N 3/08G06N 3/084+4 more

AI classification

Machine learning1.00
Evolutionary computation1.00
Knowledge representation0.99
Planning0.95
AI hardware0.92
Natural language0.38
Speech0.00
Vision0.00

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.

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