US 12,242,515 B2
System and method for custom label embedding
Ranjitha Kumar, Champaign, IL (US); Kristijan IVancic, Glasgow (GB); Kelsey Elizabeth Turbeville, San Francisco, CA (US); Ali Hur Zaidi, Saratoga, CA (US); Jenny Gutierrez Villalobos, Falls Church, VA (US); and Jason Matthew Moss, Decatur, GA (US)
Assigned to USER TESTING, INC., San Francisco, CA (US)
Filed by User Testing, Inc., San Francisco, CA (US)
Filed on Apr. 13, 2023, as Appl. No. 18/300,032.
Prior Publication US 2024/0346047 A1, Oct. 17, 2024
Int. Cl. G06F 16/00 (2019.01); G06F 16/22 (2019.01); G06F 16/28 (2019.01)
CPC G06F 16/285 (2019.01) [G06F 16/2237 (2019.01)] 61 Claims
OG exemplary drawing
 
1. A computer-based method to identify test user intent during evaluation of user interaction with a digital asset comprising:
receiving data indicative of test user interaction with the digital asset;
producing a vector representing the received data;
using a trained machine learning model to project the vector to a first non-custom label embedding vector space, stored in a storage memory;
using the trained machine learning model to project the vector to a second custom label embedding vector space, stored in the storage memory;
determining a starting label associated with the vector based at least in part upon a nearest neighbor search within the first non-custom label embedding vector space for a label nearest to the vector and a nearest neighbor search within the second custom label embedding vector space for a label nearest to the vector;
receiving user input associating a custom label with the starting label; and
adjusting the second custom label embedding vector space based upon the user input.