FUZZY LOGIC BASED VIEWER IDENTIFICATION FOR TARGETED ASSET DELIVERY SYSTEM
    1.
    发明申请
    FUZZY LOGIC BASED VIEWER IDENTIFICATION FOR TARGETED ASSET DELIVERY SYSTEM 审中-公开
    基于FUZZY LOGIC的查询器识别用于目标资产传递系统

    公开(公告)号:US20150264438A1

    公开(公告)日:2015-09-17

    申请号:US14500895

    申请日:2014-09-29

    Abstract: A targeted advertising system uses a machine learning tool to select an asset for a current user of a user equipment device, for example, to select an ad for delivery to a current user of a digital set top box in a cable network. The machine learning tool first operates in a learning mode to receive user inputs and develop evidence that can characterize multiple users of the user equipment device audience. In a working mode, the machine learning tool processes current user inputs to match a current user to one of the identified users of that user equipment device audience. Fuzzy logic may be used to improve development of the user characterizations, as well as matching of the current user to those developed characterizations. In this manner, targeting of assets can be implemented not only based on characteristics of a household but based on a current user within that household.

    Abstract translation: 目标广告系统使用机器学习工具为用户设备设备的当前用户选择资产,例如选择用于传送到有线网络中的数字机顶盒的当前用户的广告。 机器学习工具首先以学习模式操作以接收用户输入并且开发可以表征用户设备设备受众的多个用户的证据。 在工作模式下,机器学习工具处理当前用户输入以将当前用户与该用户设备设备受众的所识别用户之一相匹配。 模糊逻辑可以用于改善用户表征的开发,以及当前用户与那些开发的特征化的匹配。 以这种方式,资产的目标不仅可以基于家庭的特征,而且还可以基于该家庭内的当前用户。

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