SYSTEM, METHOD, AND SOFTWARE APPLICATION FOR TARGETED ADVERTISING VIA BEHAVIORAL MODEL CLUSTERING, AND PREFERENCE PROGRAMMING BASED ON BEHAVIORAL MODEL CLUSTERS
    2.
    发明申请
    SYSTEM, METHOD, AND SOFTWARE APPLICATION FOR TARGETED ADVERTISING VIA BEHAVIORAL MODEL CLUSTERING, AND PREFERENCE PROGRAMMING BASED ON BEHAVIORAL MODEL CLUSTERS 有权
    系统,方法和软件应用通过行为模型集群进行目标广告和基于行为模型集群的优先级编程

    公开(公告)号:US20120011530A1

    公开(公告)日:2012-01-12

    申请号:US13238195

    申请日:2011-09-21

    IPC分类号: H04N21/258

    摘要: The method and system for TV user profile data prediction and modeling allows accurate and narrowly focused behavioral clustering. A client-side system classifies television consumers into representative user profiles. The profiles target individual user advertising and program preference category groups. A contextual behavioral profiling system determines the user's monitor behavior and content preferences, and the system may be continually updated with user information. A behavioral model database is queried by various system modules. The programming, including targeted advertising for television and interactive television is based on the profile data prediction, modeling and preference determination. The system is enabled to present a complete program sequence to the viewer based on the preference determination and stored programming. The latter is referred to as automatic program sequence (virtual channel) creation and the virtual channel can be presented as a separate channel in an electronic programming guide (EPG).

    摘要翻译: 电视用户简档数据预测和建模的方法和系统允许精确和狭义的行为聚类。 客户端系统将电视消费者分为有代表性的用户配置文件。 配置文件定位到个人用户广告和节目偏好类别组。 上下文行为分析系统确定用户的监视行为和内容偏好,并且系统可以用用户信息不断更新。 行为模型数据库由各种系统模块查询。 编程,包括电视和互动电视的有针对性的广告是基于轮廓数据预测,建模和偏好确定。 该系统能够基于偏好确定和存储的编程向观看者呈现完整的程序序列。 后者被称为自动程序序列(虚拟通道)创建,并且虚拟通道可以作为电子节目指南(EPG)中的单独频道呈现。

    System, method, and software application for targeted advertising via behavioral model clustering, and preference programming based on behavioral model clusters
    3.
    发明授权
    System, method, and software application for targeted advertising via behavioral model clustering, and preference programming based on behavioral model clusters 有权
    通过行为模型聚类进行目标广告的系统,方法和软件应用,以及基于行为模型集群的偏好编程

    公开(公告)号:US08046797B2

    公开(公告)日:2011-10-25

    申请号:US10043714

    申请日:2002-01-09

    摘要: The method and system for TV user profile data prediction and modeling allows accurate and narrowly focused behavioral clustering. A client-side system classifies television consumers into representative user profiles. The profiles target individual user advertising and program preference category groups. A contextual behavioral profiling system determines the user's monitor behavior and content preferences, and the system may be continually updated with user information. A behavioral model database is queried by various system modules. The programming, including targeted advertising for television and interactive television is based on the profile data prediction, modeling and preference determination. The system is enabled to present a complete program sequence to the viewer based on the preference determination and stored programming. The latter is referred to as automatic program sequence (virtual channel) creation and the virtual channel can be presented as a separate channel in an electronic programming guide (EPG).

    摘要翻译: 电视用户简档数据预测和建模的方法和系统允许精确和狭义的行为聚类。 客户端系统将电视消费者分为有代表性的用户配置文件。 配置文件定位到个人用户广告和节目偏好类别组。 上下文行为分析系统确定用户的监视行为和内容偏好,并且系统可以用用户信息不断更新。 行为模型数据库由各种系统模块查询。 编程,包括电视和互动电视的有针对性的广告是基于轮廓数据预测,建模和偏好确定。 该系统能够基于偏好确定和存储的编程向观看者呈现完整的程序序列。 后者被称为自动程序序列(虚拟通道)创建,并且虚拟通道可以作为电子节目指南(EPG)中的单独频道呈现。