18489718. SYSTEMS AND METHODS FOR ENABLING REAL-TIME GRAPH MACHINE LEARNING MODELS USING BITWISE TRANSACTION GRAPH FRAMEWORKS (JPMorgan Chase Bank, N.A.)
SYSTEMS AND METHODS FOR ENABLING REAL-TIME GRAPH MACHINE LEARNING MODELS USING BITWISE TRANSACTION GRAPH FRAMEWORKS
Organization Name
Inventor(s)
Erica Song of Lewis Center OH US
SYSTEMS AND METHODS FOR ENABLING REAL-TIME GRAPH MACHINE LEARNING MODELS USING BITWISE TRANSACTION GRAPH FRAMEWORKS
This abstract first appeared for US patent application 18489718 titled 'SYSTEMS AND METHODS FOR ENABLING REAL-TIME GRAPH MACHINE LEARNING MODELS USING BITWISE TRANSACTION GRAPH FRAMEWORKS
Original Abstract Submitted
Systems and methods for enabling real-time graph machine learning models using bitwise transaction graph frameworks are disclosed. According to one embodiment, a method may include: (1) receiving, by a bitwise transaction graph computer program, a plurality of historical transactions, wherein each historical transaction comprises a customer identifier for a customer, a card number or card reference number, a merchant identifier for a merchant, a transaction authorization time, a transaction risk score, and a set of real-time fraud risk attributes; (2) converting, by the bitwise transaction graph computer program, the historical transactions to a fixed length data structure; and (3) loading, by the bitwise transaction graph computer program, the fixed length data structure onto edges of a transaction graph, wherein each vertex of the transaction graph represents one of the customers or one of the merchants.
