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

Claim 11:
12. A non-transitory, computer readable medium for using machine learning models to organize and select modular components for user interface templates comprising instructions that when executed on one or more processors cause operations 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 and 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.