TWI786378B

In a household network management system, a machine learning method is used to establish a family relationship determination model based on multiple reference of customer relationship data, and define multiple important values related to multiple feature relationships. Each reference of customer rel...

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Bibliographische Detailangaben
Hauptverfasser:	ZHENG, RU-WEN, JIANG, YING-QIAO, DU, WEN-DA
Format:	Patent
Sprache:	chi
Schlagworte:	CALCULATING 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:	In a household network management system, a machine learning method is used to establish a family relationship determination model based on multiple reference of customer relationship data, and define multiple important values related to multiple feature relationships. Each reference of customer relationship data includes at least one of regular account transfer transaction data, browsing records of specific digital channels, credit card payment information, and contact information corresponding to the customer. The processing module uses the family relationship determination model to estimate the probability value of the family relationship between two customers based on the input data of at least one of the regular account transfer transaction data, browsing records of specific digital channels, credit card payment information, and contact information related to two customers. When the probability value is greater than a predetermined threshold value, a new household network with the two customers connected