GENERATING RECOMMENDATIONS THROUGH USE OF A TRUSTED NETWORK

Described herein are various techniques for automatically generating recommendations for a user based upon a social network of the user. A user can request a recommendation for a particular context, and a social network of the user can be automatically pared to create a subnetwork, wherein individua...

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Bibliographische Detailangaben
Hauptverfasser:	BODY DANAH MICHELE, BORGS CHRISTIAN HERWARTH, TENNENHOLTZ MOSHE, CHAYES JENNIFER TOUR, KALAI ADAM TAUMAN
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 ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	Described herein are various techniques for automatically generating recommendations for a user based upon a social network of the user. A user can request a recommendation for a particular context, and a social network of the user can be automatically pared to create a subnetwork, wherein individuals in the subnetwork have provided ratings for the particular context and/or contexts that are in some way related to the particular context. The knowledge/ratings of individuals in the subnetwork may then be leveraged to automatically generate the recommendation for the particular context.