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    Systems for Predicting a Terminal Event
    1.
    发明申请
    Systems for Predicting a Terminal Event 有权

    公开(公告)号：US20210342649A1

    公开(公告)日：2021-11-04

    申请号：US16866261

    申请日：2020-05-04

    Applicant: Adobe Inc.

    Inventor： Amit Doda ,  Gaurav Sinha ,  Kai Yeung Lau ,  Akangsha Sunil Bedmutha ,  Shiv Kumar Saini ,  Ritwik Sinha ,  Vaidyanathan Venkatraman ,  Niranjan Shivanand Kumbi ,  Omar Rahman ,  Atanu R. Sinha

    IPC: G06K9/62 ,  G06F17/18 ,  G06N20/00 ,  G06F3/0481

    Abstract: In implementations of systems for predicting a terminal event, a computing device implements a termination system to receive input data defining a period of time and a maximum event threshold. This system uses a classification model to generate event scores for a plurality of entity devices. Each of the event scores indicates a probability of an event occurrence for a corresponding entity device within a period of time. The plurality of entity devices are segmented into a first segment and a second segment based on an event score threshold. Entity devices included in the first segment have event scores greater than the event score threshold and entity devices included in the second segment have event scores below the event score threshold. The termination system generates an indication of a probability that a number of event occurrences for the entity devices included in the second segment exceeds the maximum even threshold within the period of time.

    SELECTING TARGET AUDIENCES FOR MARKETING CAMPAIGNS
    2.
    发明申请
    SELECTING TARGET AUDIENCES FOR MARKETING CAMPAIGNS 有权

    公开(公告)号：US20210342866A1

    公开(公告)日：2021-11-04

    申请号：US16861756

    申请日：2020-04-29

    Applicant: Adobe Inc.

    Inventor： Camille Girabawe ,  Richard Yang ,  Goutham Srivatsav Arra ,  Akangsha Sunil Bedmutha ,  Omar Rahman ,  Niranjan Kumbi ,  Vaidyanathan Venkatraman

    IPC: G06Q30/02 ,  G06F16/28 ,  G06F16/901 ,  G06F16/9535

    Abstract: Techniques are disclosed for selecting audience members for a marketing campaign. A list of potential members is accessed, where each member is associated with a corresponding feature vector comprising features. A subset of the features is selected, and used to select a first group from the list for inclusion in the campaign, thereby also defining a second group from the list for exclusion from the campaign. A first similarity among the members in the first group is compared to a second similarity between the members in the first and second groups. If the first similarity is equal to or lower than the second similarity, the subset of features is updated to form a new subset of features, and the selection process of target audience member is repeated, until the first similarity becomes higher than the second similarity. Subsequently, the marketing campaign is launched with the first group of members.

    OPTIMIZING SEND TIME FOR ELECTRONIC COMMUNICATIONS
    4.
    发明申请
    OPTIMIZING SEND TIME FOR ELECTRONIC COMMUNICATIONS 有权

    公开(公告)号：US20220245446A1

    公开(公告)日：2022-08-04

    申请号：US17164111

    申请日：2021-02-01

    Applicant: ADOBE INC.

    Inventor： Saayan Mitra ,  Xiang Chen ,  Akangsha Sunil Bedmutha ,  Viswanathan Swaminathan ,  Omar Rahman ,  Camille Girabawe

    IPC: G06N3/08 ,  G06N3/04

    Abstract: An improved electronic communication system schedules transmission of electronic communications based on a predicted open time and click time. The open and click times are predicted from a machine learning model that is trained to optimize for both tasks. Additionally, when training the machine learning model, the loss used for adjusting the system to achieve a desired accuracy may be a biased loss determined from a function that penalizes overpredicting the open time. As such, the loss value may be determined by different set of rules depending on whether the predicted time is greater than the actual time or not.

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