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    • 25. 发明公开
    • METHODS, SYSTEMS, AND COMPUTER-READABLE MEDIA FOR DYNAMIC CONTENT ALLOCATION
    • VERFAHREN,SYSTEME UND COMPUTERLESBARE MEDIENFÜRDYNAMISCHE INHALTSZUWEISUNG
    • EP3152899A1
    • 2017-04-12
    • EP15803654.1
    • 2015-06-03
    • Visible World Inc.
    • HABERMAN, SethBRESS, RobertMARCUS, ClaudioSOUTHERN, James
    • H04N7/10
    • G06Q30/0244G06Q30/0247G06Q30/0264G06Q30/0269
    • Systems and methods for the optimized allocation of content on a content distribution system according to a content distribution plan are described. In some embodiments, a management system may be configured to generate an optimized schedule for content distribution, such as an advertising campaign. For a television distribution schedule, an impressions forecast may be generated based on the available inventory and historical audience measurement information, such as television ratings for a television advertising campaign. An optimized schedule may be generated based on the impressions forecast and content may be distributed according to the optimized schedule. Measurement information relating to the distribution according to the optimized schedule may be analyzed and used to generate a re-optimized schedule, for example, that may be used to schedule the advertising campaign on a subsequent day.
    • 描述根据内容分发计划在内容分发系统上优化内容分配的系统和方法。 在一些实施例中,管理系统可以被配置为生成用于内容分发的优化调度,诸如广告活动。 对于电视分发时间表,可以基于可用的广告资源和历史受众测量信息(例如电视广告活动的电视等级)来生成展示预测。 可以基于展示预测生成优化的时间表,并且可以根据优化的时间表分发内容。 可以分析与根据优化时间表的分发有关的测量信息,并且用于生成重新优化的时间表,例如可以用于在随后的一天安排广告活动。
    • 26. 发明公开
    • SYSTEMS AND METHODS FOR ANONYMOUS BEHAVIORAL-BASED RECORDS IDENTIFICATION
    • 系统公司VERFAHREN ZUR IDENTIFIZIERUNG ANONYMER VERHALTENSBASIERTER AUFZEICHNUNGEN
    • EP3117623A1
    • 2017-01-18
    • EP15762239.0
    • 2015-03-10
    • Visible World Inc.
    • HABERMAN, SethMARCUS, Claudio
    • H04N21/422
    • G06Q30/0201
    • Methods, systems, and computer-readable media for identifying users, records, and/or devices using anonymous source data records associated with consumer activity are described. In general, the consumer activity may relate to consumer interactions with devices and/or content or data through devices. The source data records may be structured, such as associating the source data records with a sequential timeline. Behavioral markers may be generated by the matching system and associated with the source data records. Each behavioral marker may be analyzed across all of the source data records to determine the effectiveness of the behavioral marker to identify unique source data records. One or more of the behavioral markers may be used to generate a behavioral fingerprint. A behavioral fingerprint may be used to identify unique records, devices, and/or users, including identification based on different sets of source data records.
    • 描述了使用与消费者活动相关联的匿名源数据记录识别用户,记录和/或设备的方法,系统和计算机可读介质。 通常,消费者活动可能涉及消费者与设备和/或通过设备的内容或数据的交互。 可以构建源数据记录,诸如将源数据记录与顺序时间线相关联。 行为标记可以由匹配系统生成并与源数据记录相关联。 可以在所有源数据记录中分析每个行为标记,以确定行为标记识别唯一源数据记录的有效性。 可以使用一个或多个行为标记来产生行为指纹。 可以使用行为指纹来识别唯一记录,设备和/或用户,包括基于不同的源数据记录集的标识。