PERSONALIZED CONTENT AUTHORING DRIVEN BY RECOMMENDATIONS

The disclosed embodiments provide a system for personalizing content authoring. During operation, the system obtains interaction data containing interactions between a set of users and a set of features of a content management system (CMS). Next, the system tracks preferences of the users toward the...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser:	Upadhyay, Yogesh M, Chen, Crystal, Huang, Shenghao, Mei, Nelson, Seaton, Curtis C, Xing, Bo, Reyes, Allen Arista
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC COMMUNICATION TECHNIQUE 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:	The disclosed embodiments provide a system for personalizing content authoring. During operation, the system obtains interaction data containing interactions between a set of users and a set of features of a content management system (CMS). Next, the system tracks preferences of the users toward the features in a set of attributes representing the interaction data and a context associated with the interactions. During access to the CMS by a user, the system uses the attributes to identify other users that are similar to the user. Next, the system uses attributes for the user and the other users to calculate a set of weighted ratings between the user and the features. The system then generates output for prioritizing, for the user, the features within a user interface of the CMS according to the set of weighted ratings.