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    Audience Segmentation Using Machine-Learning
    1.
    发明申请
    Audience Segmentation Using Machine-Learning 审中-公开
    使用机器学习的观众分割

    公开(公告)号：US20150334458A1

    公开(公告)日：2015-11-19

    申请号：US14321017

    申请日：2014-07-01

    Applicant: Cisco Technology Inc.

    Inventor： Prabhakar Srinivasan ,  Trevor Smith ,  Nicholas Ashton Hall ,  Trevor Whinmill

    IPC: H04N21/442 ,  H04N21/466 ,  H04N21/482

    CPC classification number: H04N21/4751 ,  H04N21/44222 ,  H04N21/466 ,  H04N21/4667 ,  H04N21/482

    Abstract: 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.

    Abstract translation: 描述了用于观众分割的方法和系统，所述方法和系统包括准备多个针对内容项目和用户简档属性的先验概率分布指南，可以从观众测量数据中提取先验概率和用户简档属性，接收原始受众 测量数据，在处理器处，使用所准备好的多本指南对所接收的原始受众测量数据进行分析，作为分析结果，为每个用户家庭生成多个数据群集，将观看活动与所识别的家庭内的每个群集相关联， 预测对应于所识别的家庭内的每个群集的观众的个人资料，应用分类规则以便将观看偏好标签分配给每个预测的个人资料，以及基于分配给该个人资料的观看偏好标签来分配每个预测的个人资料观看偏好相关系统， 方法和装置等 如此描述。

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