PREDICTING CONTENT PERFORMANCE WITH INTEREST DATA

PREDICTING CONTENT PERFORMANCE WITH INTEREST DATA

Systems and methods for predicting content performance with interest data include receiving a content selection request that includes a client identifier. One or more topical interest categories associated with the client identifier may be used as inputs to a prediction model to predict the likeliho...

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Bibliographische Detailangaben
Hauptverfasser: ZHANG XIAONAN, PONNEKANTI SHANKAR, LIU TING, ZAMIR OREN ELI
Format: Patent
Sprache:eng
Schlagworte:
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
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Beschreibung
Zusammenfassung:Systems and methods for predicting content performance with interest data include receiving a content selection request that includes a client identifier. One or more topical interest categories associated with the client identifier may be used as inputs to a prediction model to predict the likelihood of an online action occurring as a result of third-party content being selected. The predicted likelihood may be used to select third-party content.