Patent ID: 11960833
Assignee: CAPITAL ONE SERVICES, LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 1:
2. A method for using machine learning models to organize and select modular components for user interface templates, the method comprising:
retrieving a user profile corresponding to a user account for a user, wherein the user profile includes a behavior characteristic, and wherein the behavior characteristic indicates likely user behavior when interacting with user interfaces;
determining template requirements for a user interface;
generating a first feature input based on the user profile and the template requirements;
inputting the first feature input into a machine learning model, wherein the machine learning model is trained to determine a number of user input fields or a number of user interface pages based on known behavior characteristics for user accounts retrieved from user profiles;
receiving from the machine learning model a first output, wherein the first output indicates, based on the first feature input, a preferred number of user input fields and a preferred number of user interface pages; and
generating for display, on a user device, the user interface comprising the preferred number of user input fields and the preferred number of user interface pages.