ACCOUNT AGGREGATION USING MACHINE LEARNING

Methods, systems, and apparatus, including medium-encoded computer program products, for aggregating accounts using machine learning. User interaction data can be obtained for a user and can describe interactions by the user with a given account of multiple different accounts assigned to the user on...

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Bibliographische Detailangaben
1. Verfasser:	SHIN, Dongeek
Format:	Patent
Sprache:	eng ; fre ; ger
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 ELECTRIC COMMUNICATION TECHNIQUE ELECTRIC DIGITAL DATA PROCESSING ELECTRICITY PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
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Beschreibung
Zusammenfassung:	Methods, systems, and apparatus, including medium-encoded computer program products, for aggregating accounts using machine learning. User interaction data can be obtained for a user and can describe interactions by the user with a given account of multiple different accounts assigned to the user on one or more computer systems. An input that includes the user interaction data is processed using a machine learning model that is configured to produce a result that includes a first account embedding that differs from the user interaction data. From at least the first account embedding, an account group is determined that corresponds to the user interaction data. A first action is performed based on the account group, wherein the first action differs from a second action that would have been performed based on a different account group that is not the account group.