NEURAL NETWORK PROCESSING OF RETURN PATH DATA TO ESTIMATE HOUSEHOLD MEMBER AND VISITOR DEMOGRAPHICS
Example demographic estimation systems disclosed herein include a feature generator to generate features from return path data reported from set-top boxes associated with return path data households; a neural network to process the features generated from the return path data to predict demographic...
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Main Authors | , , , , , , |
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Format | Patent |
Language | Chinese English |
Published |
10.12.2021
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Subjects | |
Online Access | Get full text |
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Summary: | Example demographic estimation systems disclosed herein include a feature generator to generate features from return path data reported from set-top boxes associated with return path data households; a neural network to process the features generated from the return path data to predict demographic classification probabilities for the return path data households, the neural network to be trained based on panel data reported from meters that monitor media devices associated with panelist households; a demographic assignment engine to assign one or more demographic categories to respective ones of the return path data households based on the predicted demographic classification probabilities; and a visitor assignment engine to assign virtual visitors to at least a subset of the respective ones of the return path data households based on the one or more demographic categories assigned to the respective ones of the return path data households.
本文公开的示例人口统计估计系统包括:特征生成器,其根据从与返回路径数据住户相关联的机顶盒报告的返回路径数据生成特征;神经网络,其对根据返回路 |
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Bibliography: | Application Number: CN202080032847 |