User Testing, Inc.

Kelsey Elizabeth Turbeville

Kristijan Ivancic

Jenny Gutierrez Villalobos

Jason Matthew Moss

Ali Hur Zaidi

Ranjitha Kumar

A computer-based method to identify test user intent during evaluation of user interaction with a digital asset is provided comprising: receiving test user interaction data; producing a vector based upon the received data; using a machine learning model to project the vector to a first non-custom label embedding vector space; using the machine learning model to project the vector to a second custom label embedding vector space; determining a starting label associated with the vector based at least in part upon a nearest neighbor search within the first embedding vector space for a label nearest to the vector and a nearest neighbor search within the second embedding vector space for a nearest neighbor to the vector, receiving identification of a custom label; and adjusting the second embedding vector space based upon the custom label.

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San Francisco, CA, United States of America

Kelsey Elizabeth Turbeville