US 12,229,172 B2
Systems and methods for generating user inputs using a dual-pathway model
Isha Chaturvedi, Mountain View, CA (US); Mohammad Sorower, Great Falls, VA (US); Andy Luo, Arlington, VA (US); William Huang, New York, NY (US); and Anirban Das, McLean, VA (US)
Assigned to Capital One Services, LLC, McLean, VA (US)
Filed by Capital One Services, LLC, McLean, VA (US)
Filed on Jun. 29, 2023, as Appl. No. 18/344,821.
Prior Publication US 2025/0005049 A1, Jan. 2, 2025
Int. Cl. G06F 16/00 (2019.01); G06F 16/332 (2019.01); G06N 5/02 (2023.01)
CPC G06F 16/3323 (2019.01) [G06F 16/334 (2019.01); G06N 5/02 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system for generating content based on dual-pathway models, the system comprising:
one or more processors; and
one or more non-transitory, computer-readable media comprising instructions recorded thereon that, when executed by the one or more processors, cause operations comprising:
receiving first user data;
determining, based on the first user data, a first prediction count that a user has a first intent of a plurality of available intents using a first model of a dual-pathway model, wherein the first model comprises a deterministic word graph model;
comparing the first prediction count to a first threshold count for using a second model of the dual-pathway model, wherein the second model comprises a semantic autocomplete model, and wherein the first threshold count comprises a required number of potential user inputs to be generated for display that have a threshold confidence;
in response to the first prediction count equaling or exceeding the first threshold count, selecting the first model from the dual-pathway model;
determining, using the first model, a first response for the first intent;
generating for display, on a user interface, a first potential user input corresponding to the first intent, wherein the first potential user input comprises a first text string for entry into a search field of the user interface;
receiving a first user input into the search field, wherein the first user input comprises a first textual character;
determining whether the first textual character corresponds to the first text string;
in response to determining that the first textual character corresponds to the first text string, continuing to generate for display the first potential user input;
determining, based on second user data, a second prediction count that the user has a second intent of the plurality of available intents using the first model of the dual-pathway model;
comparing the second prediction count to the first threshold count for using the second model of the dual-pathway model;
in response to the first prediction count not equaling or exceeding the first threshold count, selecting the second model from the dual-pathway model;
determining, using the second model, a second response for the second intent; and
generating for display, on the user interface, a second potential user input corresponding to the second response.