US 12,112,127 B2
Systems and methods for generating a customized graphical user interface
Neeraj Agrawal, Agra (IN); Priyanka Bhatt, Faridabad (IN); and Tanishka Agarwal, Greater Noida (IN)
Assigned to WALMART APOLLO, LLC, Bentonville, AR (US)
Filed by Walmart Apollo, LLC, Bentonville, AR (US)
Filed on Jan. 31, 2022, as Appl. No. 17/589,143.
Prior Publication US 2023/0244866 A1, Aug. 3, 2023
Int. Cl. G06F 40/30 (2020.01); G06F 3/0484 (2022.01); G06F 40/20 (2020.01); G06F 40/35 (2020.01); G06N 3/08 (2023.01); G06Q 10/0837 (2023.01)
CPC G06F 40/20 (2020.01) [G06F 3/0484 (2013.01); G06F 40/35 (2020.01); G06N 3/08 (2013.01); G06Q 10/0837 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system comprising:
one or more processors; and
one or more non-transitory computer-readable storage devices storing computing instructions configured to run on the one or more processors and cause the one or more processors to perform:
receiving one or more user utterances;
re-training a pre-trained natural language processing (NLP) algorithm on the one or more user utterances;
using the pre-trained NLP algorithm, as re-trained, as one or more layers in a neural network;
combining at least one first output of at least one first output layer of the neural network with at least one second output of at least one second output layer of the neural network to create a final output of the neural network, wherein:
the at least one first output layer of the neural network is different than the at least one second output layer of the neural network; and
wherein the pre-trained NLP algorithm, as re-trained, is used to determine the final output of the neural network; and
coordinating displaying a customized graphical user interface (GUI) using the final output of the neural network.