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    METHODS, SYSTEMS, AND COMPUTER-READABLE MEDIA FOR DYNAMIC CONTENT ALLOCATION
    1.
    发明申请
    METHODS, SYSTEMS, AND COMPUTER-READABLE MEDIA FOR DYNAMIC CONTENT ALLOCATION 有权

    公开(公告)号：US20240403911A1

    公开(公告)日：2024-12-05

    申请号：US18733642

    申请日：2024-06-04

    Applicant: FreeWheel Media, Inc.

    Inventor： Seth HABERMAN ,  Robert BRESS ,  Claudio MARCUS ,  James SOUTHERN

    IPC: G06Q30/0242 ,  G06Q30/0241 ,  G06Q30/0251

    Abstract: 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.

    Dynamic Content Allocation And Optimization
    2.
    发明申请
    Dynamic Content Allocation And Optimization 有权

    公开(公告)号：US20220078528A1

    公开(公告)日：2022-03-10

    申请号：US17454737

    申请日：2021-11-12

    Applicant: FreeWheel Media, Inc.

    Inventor： Seth HABERMAN ,  Robert BRESS ,  Claudio Marcus

    IPC: H04N21/81 ,  H04N21/45 ,  G06Q30/02 ,  H04N21/234 ,  G11B27/10 ,  H04N21/258 ,  H04N21/442 ,  H04N21/845

    Abstract: Systems and methods for the optimized allocation of content within a universe of inventory are described. For example, a method may include receiving content comprising at least one characteristic and at least one goal. A universe of inventory may be accessed that comprises a plurality of targets which may be assigned into a plurality of segments based on at least one demographic vector. An allocation optimization model may be generated based on the at least one content characteristic, the at least one goal and the plurality of segments. The content may be presented to the targets based on the allocation optimization model. Viewing data may be received that comprises data associated with target consumption of the content and the allocation optimization module may be re-optimized based on the viewing data. Additional factors, such as resource constraints and/or filtering rules, may be used when re-optimizing the allocation optimization module.

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