公开(公告)号：US20150237386A1

公开(公告)日：2015-08-20

申请号：US14502830

申请日：2014-09-30

Applicant: INVIDI TECHNOLOGIES CORPORATION

Inventor： PATRICK M. SHEEHAN ,  BRUCE J. ANDERSON ,  DANIEL C. WILSON, II

IPC: H04N21/2668 ,  H04N21/222 ,  H04N21/45 ,  H04N21/435 ,  H04N21/2187 ,  H04N21/234 ,  H04N21/2665 ,  H04N21/462 ,  H04N21/258 ,  H04N21/262 ,  H04N21/235

CPC classification number: H04N21/26216 ,  H04N21/2221 ,  H04N21/235 ,  H04N21/2668 ,  H04N21/435 ,  H04N21/4516 ,  H04N21/454 ,  H04N21/4756 ,  H04N21/84

Abstract: Assets of broadcast network content are targeted to network users of interest based on location information regarding user equipment devices. Asset providers can specify location targeting criteria via a graphical user interface displaying mapping information. This location targeting criteria can then be compared to location information regarding user equipment devices so that assets are delivered to appropriate devices. The comparison of the location targeting criteria to the device location information can be performed at the user equipment devices or at another location. In the latter case, the assets can be addressed to appropriate user equipment devices or appropriate user equipment devices can be directed to select the asset, which is broadcast via the network. In this manner, assets can be targeted to individual network users on a basis independent of network topology.

Abstract translation: 基于关于用户设备设备的位置信息，广播网络内容的资源针对感兴趣的网络用户。 资产提供商可以通过显示映射信息的图形用户界面来指定位置定位标准。 然后可以将此位置定位条件与有关用户设备设备的位置信息进行比较，以便将资产传递到适当的设备。 位置定位标准与设备位置信息的比较可以在用户设备设备或其他位置进行。 在后一种情况下，资产可以被寻址到适当的用户设备设备，或者适当的用户设备设备可以被引导以选择通过网络广播的资产。 以这种方式，资产可以在独立于网络拓扑的基础上针对个别网络用户。

公开(公告)号：US20180189285A1

公开(公告)日：2018-07-05

申请号：US15683023

申请日：2017-08-22

Applicant: INVIDI TECHNOLOGIES CORPORATION

Inventor： DAVID DOWNEY ,  PATRICK M. SHEEHAN ,  BRUCE J. ANDERSON ,  DANIEL C. WILSON

IPC: G06F17/30 ,  H04N21/4722 ,  H04N21/81

CPC classification number: G06F16/48 ,  H04N21/4722 ,  H04N21/812

Abstract: 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.

公开(公告)号：US20150264438A1

公开(公告)日：2015-09-17

申请号：US14500895

申请日：2014-09-29

Applicant: INVIDI TECHNOLOGIES CORPORATION

Inventor： EARL COX ,  PATRICK M. SHEEHAN ,  ALDEN LLOYD PETERSON, II

IPC: H04N21/466 ,  H04N21/258 ,  H04N21/6338 ,  H04N21/81 ,  H04N21/442 ,  H04N21/2668

CPC classification number: H04N21/4666 ,  G06Q30/02 ,  H04H60/45 ,  H04H2201/70 ,  H04N21/25883 ,  H04N21/25891 ,  H04N21/2668 ,  H04N21/44218 ,  H04N21/44222 ,  H04N21/4667 ,  H04N21/6338 ,  H04N21/812

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。