Universally interactive request for information

    公开(公告)号:US11222062B2

    公开(公告)日:2022-01-11

    申请号:US15683023

    申请日:2017-08-22

    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.

    Asset targeting system for limited resource environments

    公开(公告)号:US10762509B2

    公开(公告)日:2020-09-01

    申请号:US16173943

    申请日:2018-10-29

    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.

    Intelligent targeting of tags in a broadcast network
    8.
    发明授权
    Intelligent targeting of tags in a broadcast network 有权
    智能瞄准广播网络中的标签

    公开(公告)号:US09396475B2

    公开(公告)日:2016-07-19

    申请号:US12024757

    申请日:2008-02-01

    IPC分类号: H04N7/10 G06Q30/02

    CPC分类号: G06Q30/02

    摘要: A system and associated methodology are disclosed for targeting tags in a broadcast network. The tags may be associated with an ad or programming. In one implementation, the tags to be delivered at a user equipment device are selected at the user equipment device, for example, based on location or other user classification parameters. In this manner, different user equipment devices that are on the same bandwidth segment in the same network subdivision can receive different tags.

    摘要翻译: 公开了一种用于在广播网络中定位标签的系统和相关联的方法。 标签可能与广告或编程相关联。 在一个实施方式中,例如,基于位置或其他用户分类参数,在用户设备设备处选择要在用户设备设备处递送的标签。 以这种方式,在相同网络细分中位于相同带宽段上的不同用户设备设备可以接收不同的标签。

    FUZZY LOGIC BASED VIEWER IDENTIFICATION FOR TARGETED ASSET DELIVERY SYSTEM
    10.
    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。