Feature-Based Method and System for Cold-Start Recommendation of Online Ads

Feature-Based Method and System for Cold-Start Recommendation of Online Ads

A method and a system are provided for recommending an ad (e.g., item) for a user. In one example, the system constructs one or more user profiles. Each user profile is represented by a user feature set including user attributes. The system constructs one or more item profiles. Each item profile is...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: CHU WEI, PARK SEUNG-TAEK
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
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:A method and a system are provided for recommending an ad (e.g., item) for a user. In one example, the system constructs one or more user profiles. Each user profile is represented by a user feature set including user attributes. The system constructs one or more item profiles. Each item profile is represented by an item feature set including item attributes. The system receives historical item ratings given by one or more users. The system then generates one or more preference scores by modeling at least one relationship among the user profiles, the item profiles and the historical item ratings.