Personalized campaign planner

Campaign messages may be prioritized for a given potential recipient by generating one or more learning structures associated with the campaign message. The learning structure(s) is then evaluated relative to the potential recipient to determine potential effectiveness of the campaign messages for t...

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Bibliographische Detailangaben
Hauptverfasser:	KNUDSON ARNE C, MUNTEANU VALENTIN RADU, LLOYD DANIEL B, MASON LLEWELLYN J, LEE IN JAE, KHURANA HIMANSHU
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:	Campaign messages may be prioritized for a given potential recipient by generating one or more learning structures associated with the campaign message. The learning structure(s) is then evaluated relative to the potential recipient to determine potential effectiveness of the campaign messages for the potential recipient. One such learning structure is a decision tree comprising a hierarchy of attributes associated with past recipients of the campaign message. Attributes associated with the potential recipient are then applied to the decision tree to obtain a metric of potential value of the campaign message to the potential recipient.