MACHINE LEARNING INTELLIGENT GATEWAY SELECTION FOR TRANSACTION ROUTING

Technologies for selecting a gateway for processing a request from a user system are described. Embodiments receive the request from the user system, where the request includes user profile data including a transaction request and associated user data. Embodiments identify gateways that are availabl...

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Bibliographische Detailangaben
Hauptverfasser:	Huang, Shuosheng, KESHRI, Piyush, Tan, Tian Hong Tim, GOWDA, Vikas Ramakrishne, Berdnikov, Dmitry, MAO, Xianyun, XU, Jiaqi, KUMAR, Rachit, Menghani, Divyakumar Kamal
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	Technologies for selecting a gateway for processing a request from a user system are described. Embodiments receive the request from the user system, where the request includes user profile data including a transaction request and associated user data. Embodiments identify gateways that are available to process the request. Embodiments sample historical gateway data for the available gateways using a sampling function optimized for at least two different optimization parameters. Embodiments select, by a first trained machine learning model trained based on the sampled historical gateway data, a gateway from the available gateways. Embodiments communicate the request to the selected gateway. Embodiments receive, from the selected gateway, a response that indicates a success or failure of the request.