US 12,314,548 B2
Personalizing user interface displays in real-time
Priyanka Bhatt, Faridabad (IN); Anshika Singh, Ghaziabad (IN); Shankara Bhargava, Santa Clara, CA (US); Cole Warren Dutcher, Somerville, MA (US); Muzhou Liang, San Francisco, CA (US); and Saurabh Kumar, Aurangabad (IN)
Assigned to WALMART APOLLO, LLC, Bentonville, AR (US)
Filed by Walmart Apollo, LLC, Bentonville, AR (US)
Filed on Jul. 1, 2024, as Appl. No. 18/760,571.
Application 18/760,571 is a continuation of application No. 17/589,871, filed on Jan. 31, 2022, granted, now 12,026,357.
Application 17/589,871 is a continuation in part of application No. 16/682,070, filed on Nov. 13, 2019, granted, now 11,687,802, issued on Jun. 27, 2023.
Prior Publication US 2024/0427477 A1, Dec. 26, 2024
Int. Cl. G06F 3/0484 (2022.01); G10L 15/18 (2013.01); G10L 15/22 (2006.01)
CPC G06F 3/0484 (2013.01) [G10L 15/18 (2013.01); G10L 15/22 (2013.01); G10L 2015/223 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system comprising:
one or more processors; and
one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform:
receiving a signal from a user device of a user;
processing, via a machine learning model, user intent labels, wherein:
the machine learning model is pre-trained based on historical input data and historical output data associated with multiple users comprising the user;
the historical input data comprise historical feature embedding vectors associated with the multiple users; and
the historical output data comprise historical intent labels based at least in part on uttered intents of the multiple users;
processing one or more user intent candidates of the user intent labels;
processing one or more user interface components for the one or more user intent candidates; and
transmitting the one or more user interface components to be presented on a user interface executed on the user device of the user.