Causal modeling and attribution
    1.
    发明授权

    公开(公告)号:US10949753B2

    公开(公告)日:2021-03-16

    申请号:US14244755

    申请日:2014-04-03

    Applicant: Adobe Inc.

    Abstract: In techniques for causal modeling and attribution, a causal modeling application implements a dynamical causal modeling framework. Input data is received as a representation of communications between users, such as social media interactions between social media users, and causal relationships between the users can be determined based in part on the input data that represents the communications. Influence variables, such as exogenous variables and/or endogenous variables, can also be determined that influence the causal relationships between the users. A causal relationships model is generated based on the influence variables and the causal relationships between the users, where the causal relationships model is representative of causality, influence, and attribution between the users.

    Augmenting text with multimedia assets

    公开(公告)号:US11822868B2

    公开(公告)日:2023-11-21

    申请号:US15906388

    申请日:2018-02-27

    Applicant: Adobe Inc.

    CPC classification number: G06F40/134 G06F16/00 G06F40/279

    Abstract: Systems and methods are provided for providing a navigation interface to access or otherwise use electronic content items. In one embodiment, an augmentation application identifies at least one entity referenced in a document. The entity can be referenced in at least two portions of the document by at least two different words or phrases. The augmentation application associates the at least one entity with at least one multimedia asset. The augmentation application generates a layout including at least some content of the document referencing the at least one entity and the at least one multimedia asset associated with the at least one entity. The augmentation application renders the layout for display.

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