SYSTEM AND METHOD FOR A MACHINE LEARNING ARCHITECTURE FOR RESOURCE ALLOCATION

• Main Authors: SYLVAIN, Tristan Jean Claude, ABDI, Amir Hossein, OLIVEIRA, Gabriel, RAKHMANGULOVA, Yunduz, WILSON, Ella, YAN, Yongmin, EVANS, Robert David, IRANDOUST, Saghar, MENG, Lili, SRINIVASA, Christopher Côté
• Format: Patent
• Language: English
• Published: 11.04.2024
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

A system and method for machine learning architecture for prospective resource allocations are described. The method may include: receiving data records representing historical resource allocations from a user account associated with a first identifier to a resource account associated with a second identifier; deriving input features based on the data records; computing, using a trained neural network architecture, a predicted resource allocation amount and a predicted resource allocation date for the predicted resource allocation amount based on the derived input features; determining, using the trained neural network architecture, a first selection score associated with the predicted resource allocation amount and a second selection score associated with the predicted resource allocation date; and when the first or second selection score is above a minimum threshold, causing to display, at a display device, the associated resource allocation amount or date corresponding to the second identifier.