FUZZY LOGIC BASED VIEWER IDENTIFICATION FOR TARGETED ASSET DELIVERY SYSTEM
    2.
    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:US20110067046A1

    公开(公告)日:2011-03-17

    申请号:US12758532

    申请日:2010-04-12

    IPC分类号: H04H60/32

    摘要: 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.

    摘要翻译: 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。

    UNIVERSALLY INTERACTIVE REQUEST FOR INFORMATION
    3.
    发明申请
    UNIVERSALLY INTERACTIVE REQUEST FOR INFORMATION 审中-公开
    全面的互动请求信息

    公开(公告)号:US20120023131A1

    公开(公告)日:2012-01-26

    申请号:US13191370

    申请日:2011-07-26

    IPC分类号: G06F17/30

    摘要: A request for information (RFI) system is provided for use in communications networks including broadcast networks and the Internet. In one implementation, a code identifying an item of media content of interest (e.g. television, newspaper, magazines, billboards, radio) is captured and input to an RFI system that includes stored media tags and a search tool for matching inputs to the stored media tags. Upon receipt of the captured code, the RFI system matches the captured code with the stored media tags and provides a response to the user based on the match. The response may include or relate to follow-on or premium information relating to the content of interest. Using this information, an RFI data center or an RFI platform may credit value to a rewards account established for the network user based on the user's verified consumption of assets and/or data requests. Further, the RFI data center or RFI platform may be used to collect consumer behavior information, including purchasing decisions made by the user after consumption of assets, and correlate the consumer behavior information with the user's verified asset consumption.

    摘要翻译: 提供信息请求(RFI)系统用于包括广播网络和互联网在内的通信网络。 在一个实现中,捕获识别感兴趣的媒体内容的代码(例如电视,报纸,杂志,广告牌,无线电)的代码并将其输入到包括存储的媒体标签的RFI系统和用于将输入与存储的媒体进行匹配的搜索工具 标签。 在接收到所捕获的代码之后,RFI系统将捕获的代码与所存储的媒体标签相匹配,并且基于该匹配向用户提供响应。 答复可能包括或涉及与感兴趣的内容相关的后续或溢价信息。 使用此信息,RFI数据中心或RFI平台可以根据用户的资产和/或数据请求的验证消费,为网络用户建立的奖励账户授信值。 此外,RFI数据中心或RFI平台可以用于收集消费者行为信息,包括在消费资产之后由用户做出的购买决定,并将消费者行为信息与用户的已验证资产消费相关联。

    Fuzzy logic based viewer identification for targeted asset delivery system
    4.
    发明授权
    Fuzzy logic based viewer identification for targeted asset delivery system 有权
    用于目标资产传递系统的基于模糊逻辑的查看器识别

    公开(公告)号:US07698236B2

    公开(公告)日:2010-04-13

    申请号:US11743544

    申请日:2007-05-02

    IPC分类号: G06F15/18

    摘要: 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.

    摘要翻译: 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。

    TARGETED ADVERTISING IN UNICAST, MULTICAST AND HYBRID DISTRIBUTION SYSTEM CONTEXTS
    5.
    发明申请
    TARGETED ADVERTISING IN UNICAST, MULTICAST AND HYBRID DISTRIBUTION SYSTEM CONTEXTS 审中-公开
    区域广告中的目标广告,多媒体和混合分发系统内容

    公开(公告)号:US20090094640A1

    公开(公告)日:2009-04-09

    申请号:US12239475

    申请日:2008-09-26

    IPC分类号: H04N7/025 H04N7/173

    摘要: Systems and methods are presented for the delivery of targeted assets in a scheduled programming network in the context of several content distribution systems, including switched digital, unicast, multicast, and hybrid unicast/multicast content distribution systems. Assets may be targeted to network users in connection with the scheduled network programming, and further, successful delivery of those targeted assets may be confirmed. In this regard, the systems and methods generally select targeted assets from a remote platform and, in some instances, to deliver those targeted assets from the remote platform. The assets may be selected based on demographic or other information obtained from an external source and/or based on monitoring user inputs. In the latter regard, the classification of an audience can be based at least in part on monitoring communications to the remote platform conventionally used for other purposes.

    摘要翻译: 提出了系统和方法,用于在多个内容分发系统(包括交换数字,单播,组播和混合单播/多播内容分发系统)的上下文中,在计划的编程网络中传送目标资产。 资产可能针对与预定的网络节目相关联的网络用户,并且还可以确认有针对性的资产的成功交付。 在这方面,系统和方法通常从远程平台选择目标资产,在某些情况下,从远程平台提供目标资产。 可以基于从外部源获得的人口统计信息或其他信息和/或基于监视用户输入来选择资产。 在后一方面,观众的分类可以至少部分地基于监视与常规用于其他目的的远程平台的通信。

    Asset targeting system for limited resource environments
    6.
    发明授权
    Asset targeting system for limited resource environments 有权
    有限资源环境的资产定位系统

    公开(公告)号:US07849477B2

    公开(公告)日:2010-12-07

    申请号:US12022209

    申请日:2008-01-30

    摘要: The present invention provides targeted asset system implementations in contexts where there is limited or no ability to use a real-time return channel for communications from user equipment devices (e.g., STB) to the network. In one arrangement, a household classifier is generated and delivered to user equipment devices. The household classifiers are generated based on third party data and/or network usage information associated with the household. The system and method allow for generating highly accurate household classifications that may be forwarded to individual households where the user equipment device may implant the classifiers to select appropriate assets for delivery to the household.

    摘要翻译: 本发明在上下文中提供目标资产系统实现,其中使用实时返回信道用于从用户设备设备(例如STB)到网络的通信的能力有限或无能力。 在一种布置中,生成家庭分类器并将其传送到用户设备设备。 家庭分类器基于与家庭相关联的第三方数据和/或网络使用信息生成。 该系统和方法允许生成高度精确的家庭分类,其可以转发给个体家庭,其中用户设备设备可以植入分类器以选择适当的资产以递送给家庭。

    ASSET TARGETING SYSTEM FOR LIMITED RESOURCE ENVIRONMENTS
    7.
    发明申请
    ASSET TARGETING SYSTEM FOR LIMITED RESOURCE ENVIRONMENTS 有权
    有限资源环境的资产定向系统

    公开(公告)号:US20080184289A1

    公开(公告)日:2008-07-31

    申请号:US12022209

    申请日:2008-01-30

    IPC分类号: H04N7/025

    摘要: The present invention provides targeted asset system implementations in contexts where there is limited or no ability to use a real-time return channel for communications from user equipment devices (e.g., STB) to the network. In one arrangement, a household classifier is generated and delivered to user equipment devices. The household classifiers are generated based on third party data and/or network usage information associated with the household. The system and method allow for generating highly accurate household classifications that may be forwarded to individual households where the user equipment device may implant the classifiers to select appropriate assets for delivery to the household.

    摘要翻译: 本发明在上下文中提供目标资产系统实现,其中使用实时返回信道用于从用户设备设备(例如STB)到网络的通信的能力有限或无能力。 在一种布置中,生成家庭分类器并将其传送到用户设备设备。 家庭分类器基于与家庭相关联的第三方数据和/或网络使用信息生成。 该系统和方法允许生成高度精确的家庭分类,其可以转发给个体家庭,其中用户设备设备可以植入分类器以选择适当的资产以递送给家庭。

    ASSET TARGETING SYSTEM FOR LIMITED RESOURCE ENVIRONMENTS
    8.
    发明申请
    ASSET TARGETING SYSTEM FOR LIMITED RESOURCE ENVIRONMENTS 有权
    有限资源环境的资产定向系统

    公开(公告)号:US20110041151A1

    公开(公告)日:2011-02-17

    申请号:US12913338

    申请日:2010-10-27

    IPC分类号: H04N7/025

    摘要: The present invention provides targeted asset system implementations in contexts where there is limited or no ability to use a real-time return channel for communications from user equipment devices (e.g., STB) to the network. In one arrangement, a household classifier is generated and delivered to user equipment devices. The household classifiers are generated based on third party data and/or network usage information associated with the household. The system and method allow for generating highly accurate household classifications that may be forwarded to individual households where the user equipment device may implant the classifiers to select appropriate assets for delivery to the household.

    摘要翻译: 本发明在上下文中提供目标资产系统实现,其中使用实时返回信道用于从用户设备设备(例如STB)到网络的通信的能力有限或无能力。 在一种布置中,生成家庭分类器并将其传送到用户设备设备。 家庭分类器基于与家庭相关联的第三方数据和/或网络使用信息生成。 该系统和方法允许生成高度精确的家庭分类,其可以转发给个体家庭,其中用户设备设备可以植入分类器以选择适当的资产以递送给家庭。