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    Audience Forecasting for Digital Video Content
    1.
    发明申请
    Audience Forecasting for Digital Video Content 审中-公开

    公开(公告)号：US20190166402A1

    公开(公告)日：2019-05-30

    申请号：US15825521

    申请日：2017-11-29

    Applicant: Adobe Inc.

    Inventor： Praveen Kumar Goyal ,  Ashish Duggal ,  Atul Kumar Shrivastava ,  Prakash Tripathi ,  Kumar Mrityunjay Singh

    IPC: H04N21/466 ,  G06Q30/02 ,  G06F17/12 ,  G06F17/30 ,  H04N21/262

    Abstract: Techniques and systems are described to enable an analytics system to generate a forecast value for audience impressions of subsequent digital video content. In one example, an analytics system generated a linear regression model using data. The data describes audience segment values for past audience impressions of digital video content and a time series of when the digital video content is made available for consumption. The analytics system generates forecast values for audience impressions of digital video content using the linear regression model. In one example, the analytics system generates a forecast value for audience impressions of a subsequent item of digital video content based on scheduled availability for the subsequent item.

    Creating audience segments for campaigns
    2.
    发明授权
    Creating audience segments for campaigns 有权

    公开(公告)号：US10405013B2

    公开(公告)日：2019-09-03

    申请号：US15592175

    申请日：2017-05-10

    Applicant: Adobe Inc.

    Inventor： Anuj Jain ,  Atul Kumar Shrivastava ,  Praveen Kumar Goyal ,  Ashish Duggal

    IPC: H04N7/025 ,  H04N21/234 ,  H04N21/2668 ,  H04N21/258 ,  H04N21/458 ,  H04N21/45 ,  H04N21/81

    Abstract: Creating audience segments for campaigns is described. In one or more embodiments, an audience manager is configured to create, for one or more videos, a video audience segment associated with the video by storing, in a data management platform, user identifiers of users that viewed the video. The user identifiers can be received from a client player each time that a video is played at the client player. The audience manager is further configured to extract demographic information from a demographic report associated with the video that is received from a demographics provider, and to associate the demographic information with the video audience segment. The audience manager is further configured to generate a target audience segment for a campaign by merging and combining user identifiers that are included in two or more video audience segments.

    Machine learning-based generation of target segments
    3.
    发明授权
    Machine learning-based generation of target segments 有权

    公开(公告)号：US11538051B2

    公开(公告)日：2022-12-27

    申请号：US16168288

    申请日：2018-10-23

    Applicant: Adobe Inc.

    Inventor： Praveen Kumar Goyal ,  Piyush Gupta ,  Nikaash Puri ,  Balaji Krishnamurthy ,  Arun Kumar ,  Atul Kumar Shrivastava

    IPC: G06Q30/02 ,  G06N7/00 ,  H04N21/442 ,  H04N21/81 ,  G06N20/00 ,  G06F16/28

    Abstract: Techniques are described for machine learning-based generation of target segments is leveraged in a digital medium environment. A segment targeting system generates training data to train a machine learning model to predict strength of correlation between a set of users and a defined demographic. Further, a machine learning model is trained with visit statistics for the users to predict the likelihood that the users will visit a particular digital content platform. Those users with the highest predicted correlation with the defined demographic and the highest likelihood to visit the digital content platform can be selected and placed within a target segment, and digital content targeted to the defined demographic can be delivered to users in the target segment.

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