System to calculate an engagement score of location based media content

    公开(公告)号:US11170393B1

    公开(公告)日:2021-11-09

    申请号:US15801829

    申请日:2017-11-02

    Applicant: Snap Inc.

    Abstract: A location based measurement system monitors user interactions with media items, and visitation data to physical locations, to calculate an engagement score of the media item, wherein the engagement score serves as an indication of a “lift” incited by the media item on a population of users exposed to the media item. The location based measurement system may be or include any instrumentality or aggregate of instrumentalities operable to compute, process, store, display, generate, communicate, or apply various forms of data for geo-fencing, control, or other purposes.

    System to track engagement of media items

    公开(公告)号:US10219110B2

    公开(公告)日:2019-02-26

    申请号:US15461671

    申请日:2017-03-17

    Applicant: Snap Inc.

    Abstract: An engagement tracking system monitors user interactions with media items to calculate an engagement score of the media item. The engagement tracking system may be or include a group of one or more server machines configured to detect an exposure of a client device to a media item maintained by the engagement tracking system. In response to detecting the exposure of the client device to the media item, the engagement tracking system tracks a location of the client device based on access requests to location based media items. The engagement tracking system may thereby monitor client devices exposed to the media item in order to calculate an engagement score of the media item.

    Generating clusters based on messaging system activity

    公开(公告)号:US12222966B2

    公开(公告)日:2025-02-11

    申请号:US17328540

    申请日:2021-05-24

    Applicant: Snap Inc.

    Abstract: A system analyzes user activity data generated by computing devices associated with a plurality of users in a messaging system to extract a random user from the plurality of users. Based on determining that user activity data associated with the random user comprises a consistent pattern, a cluster associated with the consistent pattern is generated and the random user is added to the cluster. Then user activity data for the other users in the plurality of users is analyzed to determine whether user activity data for each of the other users comprises a similar pattern as the generated cluster. Each user that is determined to be associated with user activity data comprising a similar pattern as the consistent pattern of the generated cluster is added to the generated cluster and user activity data associated with each user added to the generated cluster is removed from the user activity data.

    SYSTEM TO CALCULATE ENGAGEMENT SCORE OF LOCATION BASED MEDIA CONTENT

    公开(公告)号:US20220027931A1

    公开(公告)日:2022-01-27

    申请号:US17449990

    申请日:2021-10-05

    Applicant: Snap Inc.

    Abstract: A location based measurement system monitors user interactions with media items, and visitation data to physical locations, to calculate an engagement score of the media item, wherein the engagement score serves as an indication of a “lift” incited by the media item on a population of users exposed to the media item. The location based measurement system may be or include any instrumentality or aggregate of instrumentalities operable to compute, process, store, display, generate, communicate, or apply various forms of data for geo-fencing, control, or other purposes.

    Generating clusters based on messaging system activity

    公开(公告)号:US11023496B1

    公开(公告)日:2021-06-01

    申请号:US15945298

    申请日:2018-04-04

    Applicant: Snap Inc.

    Abstract: A system analyzes user activity data generated by computing devices associated with a plurality of users in a messaging system to extract a random user from the plurality of users. Based on determining that user activity data associated with the random user comprises a consistent pattern, a cluster associated with the consistent pattern is generated and the random user is added to the cluster. Then user activity data for the other users in the plurality of users is analyzed to determine whether user activity data for each of the other users comprises a similar pattern as the generated cluster. Each user that is determined to be associated with user activity data comprising a similar pattern as the consistent pattern of the generated cluster is added to the generated cluster and user activity data associated with each user added to the generated cluster is removed from the user activity data.

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