Audience Segmentation Using Machine-Learning

A method and system for audience segmentation is described, the method and system including preparing a plurality of guidebooks of prior probability distributions for content items and user profile attributes, the prior probabilities and user profile attributes being extractable from within audience...

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Bibliographic Details
Main Authors WHINMILL TREVOR, SMITH TREVOR, SRINIVASAN PRABHAKAR, HALL NICHOLAS ASHTON
Format Patent
LanguageEnglish
Published 19.11.2015
Subjects
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
PICTORIAL COMMUNICATION, e.g. TELEVISION
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Summary:A method and system for audience segmentation is described, the method and system including preparing a plurality of guidebooks of prior probability distributions for content items and user profile attributes, the prior probabilities and user profile attributes being extractable from within audience measurement data, receiving raw audience measurement data, analyzing, at a processor, the received raw audience measurement data using the prepared plurality of guidebooks, generating a plurality of clusters of data per user household as a result of the analyzing, correlating viewing activity to each cluster within an identified household, predicting a profile of a viewer corresponding to each cluster within the identified household, applying classifier rules in order to assign viewing preference tags to each predicted profile, and assigning each predicted profile viewing preferences based on the viewing preference tags assigned to that profile Related systems, methods, and apparatus are also described.
Bibliography:Application Number: US201414321017