Enhanced value component predictions using contextual machine-learning models

The present disclosure generally relates to systems and methods that intelligently generate reassignment value conditions for reassigning access rights. The systems and methods include executing a trained contextual machine-learning model to generate predictions of value components of the reassignme...

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Bibliographic Details
Main Authors Carnahan, John, Rodrigue, Mathieu
Format Patent
LanguageEnglish
Published 27.09.2022
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRIC DIGITAL DATA PROCESSING
ELECTRICITY
PHYSICS
TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
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Summary:The present disclosure generally relates to systems and methods that intelligently generate reassignment value conditions for reassigning access rights. The systems and methods include executing a trained contextual machine-learning model to generate predictions of value components of the reassignment value condition, which once satisfied, enables an access-right requestor to have an assigned access right reassigned to the access-right requestor.
Bibliography:Application Number: US202017062773