MACHINE-LEARNING TECHNIQUES TO SUGGEST TARGETING CRITERIA FOR CONTENT DELIVERY CAMPAIGNS

MACHINE-LEARNING TECHNIQUES TO SUGGEST TARGETING CRITERIA FOR CONTENT DELIVERY CAMPAIGNS

Techniques for suggesting targeting criteria for a content delivery campaign are provided. An affinity score representing an affinity between the attribute values of each pair of multiple pairs of attribute values is computed. First input indicating a particular attribute value for a particular attr...

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Bibliographische Detailangaben
Hauptverfasser: Gerrard, Sara Smoot, Kumar, Revant, Motwani, Tanvi, Oh, Jae, Ramanath, Rohan, Tang, William, Chan, Darren, Zhou, Runfang, Yang, Liu, Guo, Qi, Chen, Wenxiang, Patry, Alexandre, Hung, Chien-Chun
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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Zusammenfassung:Techniques for suggesting targeting criteria for a content delivery campaign are provided. An affinity score representing an affinity between the attribute values of each pair of multiple pairs of attribute values is computed. First input indicating a particular attribute value for a particular attribute type is received through a user interface for creating a content delivery campaign. The user interface includes fields for inputting attribute values for multiple attribute types that includes the particular attribute type. In response to the first input and based on affinity scores associated with the particular attribute value, a set of suggested attribute values is identified. The user interface is updated to include the set of suggested attribute values. Second input indicating a selection of a particular suggested attribute value is received. The particular suggested attribute value is added to the content delivery campaign.