Patent ID: 11861003
Assignee: INTUIT INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method, comprising:
generating a vector representation of a user identifier, wherein generating the vector representation of the user identifier comprises generating a two-dimensional matrix including a one-hot representation of each character in the user identifier;
generating, using a first machine learning model and the vector representation of the user identifier, a fingerprint representative of the user identifier, wherein the first machine learning model comprises a classifier neural network trained to classify the generated fingerprint as fraudulent or legitimate;
generating, using the first machine learning model and the generated fingerprint, a score describing a likelihood that the user identifier corresponds to a fraudulent user identifier;
identifying one or more similar user identifiers based on the generated fingerprint and a second machine learning model, wherein:
the second machine learning model comprises a clustering machine learning model, and
identifying the one or more similar user identifiers comprises identifying user identifiers having fingerprints a threshold distance away from the generated fingerprint; and

taking one or more actions within a computing system relative to a user associated with the user identifier based on the generated score and the identified one or more similar user identifiers.