IDENTIFYING PATTERNS OF LEARNING CONTENT CONSUMPTION ACROSS MULTIPLE ENTITIES AND AUTOMATICALLY DETERMINING AND/OR LAUNCHING AN ENGAGEMENT ACTION BASED ON THE PATTERNS

IDENTIFYING PATTERNS OF LEARNING CONTENT CONSUMPTION ACROSS MULTIPLE ENTITIES AND AUTOMATICALLY DETERMINING AND/OR LAUNCHING AN ENGAGEMENT ACTION BASED ON THE PATTERNS

Identifying one or more patterns of content consumption across multiple entities and determining an engagement action for a user of an entity based on the patterns may include receiving information associated with content, cross-industry user data associated with consumption of the content, and a gi...

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Bibliographische Detailangaben
Hauptverfasser: Gifford Wesley M, Rodeman Suzanne M, Aki Shota, Jagmohan Ashish, Chee Yi-Min, Sheopuri Anshul, Ambrose John J
Format: Patent
Sprache:eng
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:Identifying one or more patterns of content consumption across multiple entities and determining an engagement action for a user of an entity based on the patterns may include receiving information associated with content, cross-industry user data associated with consumption of the content, and a given organization user data associated with consumption of the content. A first set of consumption profile vectors associated with the given organization and one or more second set of consumption profile vectors associated respectively with one or more cross-industry organizations may be generated. Information associated with a target user in the given organization may be received. A customized learning plan for the target user in the given organization may be generated based on the first set of consumption profile vectors, the one or more second set of consumption profile vectors, and the information associated with the target user.