	US 11,985,571 B2
	Predicting user interaction with communications
Ankit Jaini, Belmont, CA (US); Ivan Senilov, Tallinn (EE); Jordan Earnest, Farmington Hills, MI (US); Claire Electra Longo, Denver, CO (US); Jiahui Cai, Denver, CO (US); and Chiung-Yi Tseng, Berkeley, CA (US)
Assigned to Twilio Inc., San Francisco, CA (US)
Filed by Twilio Inc., San Francisco, CA (US)
Filed on Sep. 29, 2021, as Appl. No. 17/449,404.
Prior Publication US 2023/0099888 A1, Mar. 30, 2023
Int. Cl. H04W 4/12 (2009.01); G06F 11/34 (2006.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); H04W 24/10 (2009.01)

CPC H04W 4/12 (2013.01) [G06F 11/3438 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); H04W 24/10 (2013.01)]

20 Claims

1. A system comprising:

one or more processors;

and a memory that stores instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:

providing a user communication to a trained machine learning model as input;

receiving, from the trained machine learning model, a predicted measure of user interaction for the user communication; and

causing presentation of a user interface comprising the predicted measure of user interaction.