US 12,149,488 B2
Chat communication support assistants
Kimarie Pike Matthews, Burlingame, CA (US); Richard Castanho, Rutherfordton, NC (US); Germaine S. Chee, Mill Valley, CA (US); Robin J. Cusimano, San Francisco, CA (US); Brett D. Ehrlich, San Carlos, CA (US); Tyua Larsen Fraser, Livermore, CA (US); Colleen Reardon Graham, Mooresville, NC (US); Gregory Scott Hill, Midlothian, VA (US); James W. Pedersen, Gilbert, AZ (US); and Timothy J. Shipman, San Francisco, CA (US)
Assigned to Wells Fargo Bank, N.A., San Francisco, CA (US)
Filed by Wells Fargo Bank, N.A., San Francisco, CA (US)
Filed on Oct. 24, 2023, as Appl. No. 18/493,337.
Application 18/493,337 is a continuation of application No. 17/806,387, filed on Jun. 10, 2022, granted, now 11,824,820.
Application 17/806,387 is a continuation of application No. 16/719,777, filed on Dec. 18, 2019, granted, now 11,381,529.
Claims priority of provisional application 62/782,714, filed on Dec. 20, 2018.
Prior Publication US 2024/0056404 A1, Feb. 15, 2024
Int. Cl. H04L 51/02 (2022.01); G06F 3/0482 (2013.01); G06F 3/04847 (2022.01); G06F 16/435 (2019.01); G06F 16/9535 (2019.01); G06N 20/00 (2019.01); G06Q 10/0639 (2023.01); G06Q 10/10 (2023.01); G10L 13/00 (2006.01); G10L 15/18 (2013.01); G10L 15/22 (2006.01); G10L 25/63 (2013.01); H04L 51/04 (2022.01)
CPC H04L 51/02 (2013.01) [G06F 3/0482 (2013.01); G06F 3/04847 (2013.01); H04L 51/04 (2013.01); G06F 16/437 (2019.01); G06F 16/9535 (2019.01); G06N 20/00 (2019.01); G06Q 10/0639 (2013.01); G06Q 10/10 (2013.01); G10L 13/00 (2013.01); G10L 15/1815 (2013.01); G10L 15/22 (2013.01); G10L 25/63 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A computer-implemented communication support method comprising:
receiving an indication that a communication support assistant is available, the communication support assistant trained to detect a conversational triggering condition;
identifying retraining data comprising a plurality of past communications labeled with indications of whether the conversational triggering condition is present in the plurality of past communications;
updating a machine-learned discriminator model using the identified retraining data;
analyzing a second plurality of past communications between a first communication participant and other communication participants;
determining, using the machine-learned discriminator model, that the conversational triggering condition detected by the communication support assistant occurs in the second plurality of past communications at a rate that is above a threshold; and
providing a suggestion, in a graphical user interface, that the first communication participant activate the communication support assistant.