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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Bibliographische Detailangaben
Hauptverfasser:	Carnahan, John, Rodrigue, Mathieu
Format:	Patent
Sprache:	eng
Schlagworte:	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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Beschreibung
Zusammenfassung:	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.