PROVIDING INSIGHTS AND SUGGESTIONS FOR JOURNEYS

    公开(公告)号:US20210406935A1

    公开(公告)日:2021-12-30

    申请号:US16910357

    申请日:2020-06-24

    Applicant: ADOBE INC.

    Abstract: Methods and systems are provided for generating and providing insights associated with a journey. In embodiments described herein, journey data associated with a journey is obtained. A journey can include journey paths indicating workflows through which audience members can traverse. The journey data can include audience member attributes (e.g., demographics) and labels indicating journey paths traversed by audience members. A set of audience segments are determined that describe a set of audience members traversing a particular journey path. The set of audience segments can be determined using the journey data to train a segmentation model and, thereafter, analyzing the segmentation model to identify patterns that indicate audience segments associated with the particular journey path. An indication of the set of audience segments that describe the set of audience members traversing the particular journey path can be provided for display.

    SEMANTICS-AWARE HYBRID ENCODER FOR IMPROVED RELATED CONVERSATIONS

    公开(公告)号:US20230143777A1

    公开(公告)日:2023-05-11

    申请号:US17454445

    申请日:2021-11-10

    Applicant: ADOBE INC.

    CPC classification number: G06F16/9536 G06F16/9538 G06F40/20

    Abstract: A method of finding online relevant conversing posts, comprises receiving, by a web server serving an online forum, a query post from an inquirer using the online forum, computing a contextual similarity score between each conversing post of a set of conversing posts with a query post, wherein the contextual similarity score is computed between the body of each of conversing posts and of the query post, wherein N1 conversing posts with a highest contextual similarity score are selected; computing a fine grained similarity score between the subject of the query post and of each of the N1 conversing posts, wherein N2 conversing posts with a highest fine grained similarity score are selected; and boosting the fine grained similarity score of the N2 conversing posts based on relevance metrics, wherein N3 highest ranked conversing posts are selected as a list of conversing posts most relevant to the query post.

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