PRIORI SCHEDULING OF MULTIPLE ASSETS WITHIN A COLLECTION OF ASSET DELIVERY OPPORTUNITIES
    31.
    发明申请
    PRIORI SCHEDULING OF MULTIPLE ASSETS WITHIN A COLLECTION OF ASSET DELIVERY OPPORTUNITIES 有权
    资产递送机会收集中的多项资产优先排序

    公开(公告)号:US20170070759A1

    公开(公告)日:2017-03-09

    申请号:US15354518

    申请日:2016-11-17

    Abstract: Embodiments of the invention provide systems and methods for constructing a schedule well before the time of an asset delivery opportunity that associates a collection of one or more assets, potentially from multiple advertisers or asset providers, that are planned to play in each asset delivery opportunity. Specific rules for each device also determine which asset each will play, thereby ensuring that campaigns of total asset delivery and asset delivery pacing are approximately fulfilled. This scheduling can be accomplished using marketing data associated with each user device and can be prepared in a practicable period of time using reasonable processing resources.

    Abstract translation: 本发明的实施例提供用于在资产递送机会的时间之前构建调度的系统和方法,所述时间将计划在每个资产递送机会中播放的潜在地来自多个广告商或资产提供者的一个或多个资产的集合相关联。 每个设备的具体规则还确定每个设备将发挥哪些资产,从而确保总资产交付和资产投放起搏的广告活动大致满足。 可以使用与每个用户设备相关联的营销数据来实现该调度,并且可以在可行的时间段内使用合理的处理资源进行准备。

    FUZZY LOGIC BASED VIEWER IDENTIFICATION FOR TARGETED ASSET DELIVERY SYSTEM
    34.
    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。

    IN-CONTENT ADVERTISING SYSTEM
    36.
    发明公开

    公开(公告)号:US20240364946A1

    公开(公告)日:2024-10-31

    申请号:US18649732

    申请日:2024-04-29

    CPC classification number: H04N21/23424 H04N21/812

    Abstract: A system and associated functionality are described for enabling replacement of in-content advertising (ICA) content in programming segments without creating and distributing full program versions. One or more ICA opportunities (702) are provided in a programming stream (700). To enable replacement of less than the whole program, a replaceable program segment (704) is defined that encompasses the one or more ICA opportunities (702). Multiple versions (706) of the programming segment (704) can then be generated each including different ICA content for the ICA opportunity (702). Individual viewers or viewers belonging to different demographic groups or geographic zones, among other possibilities, may then receive an appropriate one of the versions (706) of the programming segment (704). A trigger (708) may be provided at a time prior to the beginning of the programming segment (704) to facilitate or enable insertion of the appropriate version (706).

    Request for information related to broadcast network content

    公开(公告)号:US11570406B2

    公开(公告)日:2023-01-31

    申请号:US15623172

    申请日:2017-06-14

    Abstract: A request for information (RFI) system is provided for use in communications networks including broadcast networks and the internet. In one implementation, a viewer of a cable television network enters an RFI input (1) to a digital set top box using a user remote. Based on this RFI input, the digital set top box transmits a data request (2) to an RFI data center. The RFI data center also receives asset data (3) from an asset database so as to associate the RFI input (1) with a particular asset. An RFI request (4) can then be transmitted to the appropriate asset provider. The asset provider can then provide a report such package of assets or follow-on information (5) back to the RFI data center. The RFI data center may then, in turn, provide the package of assets or follow-on information to a user data terminal, for example, of the cable television network viewer, via access through a web-portal or e-mail (6). The digital set top box may also record inputs from the user to verify consumption of assets and track data requests. Using this information, the 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.

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