SYSTEMS AND METHODS FOR USING MACHINE LEARNING MODELS TO ORGANIZE AND SELECT ACCESS-RESTRICTED COMPONENTS FOR ACCESSED USING USER-SPECIFIC ACCESS TOKENS WITH VARIABLE PROPERTIES

Abstract: systems and methods for providing variable and temporary access to account content for a user in a secured manner through the use of an access token with variable properties are described. the systems and methods provide improved navigability to account content accessed via the access token through the customization of user interfaces. for example, the system and methods may generate user interface templates that comprise a recommended selection and organization of user input fields and/or user interface pages.

Inventor(s): Lin Ni Lisa Cheng, Purva Shanker, Sara Margaret Hughes, Allison Trager, Shaun Kieran Webb

CPC Classification: G06F21/316 ({by observing the pattern of computer usage, e.g. typical user behaviour})

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