SYSTEMS, DEVICES, AND METHODS FOR CONTENT SELECTION

    公开(公告)号:US20240273122A1

    公开(公告)日:2024-08-15

    申请号:US18643404

    申请日:2024-04-23

    Applicant: Snap Inc.

    CPC classification number: G06F16/313 G06F16/335 G06F17/18 G06Q50/01

    Abstract: Disclosed are systems, methods, and computer-readable storage media to present content on an electronic display. In one aspect, a method includes identifying a first candidate content and a second candidate content for presentation on an electronic display, determining a first probability and a second probability that the first candidate content and the second candidate content respectively will elicit a particular type of input response, determining a first weight and a second weight based on the first probability and the second probability respectively, selecting either the first content or the second content based on the first weight and the second weight; and presenting the selected content on the electronic display.

    SYSTEMS, DEVICES, AND METHODS FOR CONTENT SELECTION

    公开(公告)号:US20220138237A1

    公开(公告)日:2022-05-05

    申请号:US17522080

    申请日:2021-11-09

    Applicant: Snap Inc.

    Abstract: Disclosed are systems, methods, and computer-readable storage media to present content on an electronic display. In one aspect, a method includes identifying a first candidate content and a second candidate content for presentation on an electronic display, determining a first probability and a second probability that the first candidate content and the second candidate content respectively will elicit a particular type of input response, determining a first weight and a second weight based on the first probability and the second probability respectively, selecting either the first content or the second content based on the first weight and the second weight; and presenting the selected content on the electronic display.

    System to track visitation metrics

    公开(公告)号:US12143887B2

    公开(公告)日:2024-11-12

    申请号:US18496121

    申请日:2023-10-27

    Applicant: Snap Inc.

    Abstract: A visitation tracking system tracks user visitation to locations of interest to generate and report visualizations of the user visitation data. The visitation tracking system may be or include a group of one or more server machines configured to receive a user input specifying a location of interest, cause display of a presentation of a set of proximity borders within a region in response to the user input specifying the location of interest, wherein the region is based on the location of interest, receives a selection of a region to monitor (e.g., proximity borders, geo-fences), detects entries of client devices to a geo-fence represented by the region to monitor, and causes display of a notification in response to the detection of the entries.

    SYSTEM TO TRACK VISITATION METRICS
    5.
    发明公开

    公开(公告)号:US20240056766A1

    公开(公告)日:2024-02-15

    申请号:US18496121

    申请日:2023-10-27

    Applicant: Snap Inc.

    CPC classification number: H04W4/021 H04L67/303 H04L67/535 H04L65/1063

    Abstract: A visitation tracking system tracks user visitation to locations of interest to generate and report visualizations of the user visitation data. The visitation tracking system may be or include a group of one or more server machines configured to receive a user input specifying a location of interest, cause display of a presentation of a set of proximity borders within a region in response to the user input specifying the location of interest, wherein the region is based on the location of interest, receives a selection of a region to monitor (e.g., proximity borders, geo-fences), detects entries of client devices to a geo-fence represented by the region to monitor, and causes display of a notification in response to the detection of the entries.

    SYSTEM TO TRACK VISITATION METRICS

    公开(公告)号:US20220103967A1

    公开(公告)日:2022-03-31

    申请号:US17533497

    申请日:2021-11-23

    Applicant: Snap Inc.

    Abstract: A visitation tracking system tracks user visitation to locations of interest to generate and report visualizations of the user visitation data. The visitation tracking system may be or include a group of one or more server machines configured to receive a user input specifying a location of interest, cause display of a presentation of a set of proximity borders within a region in response to the user input specifying the location of interest, wherein the region is based on the location of interest, receives a selection of a region to monitor (e.g., proximity borders, geo-fences), detects entries of client devices to a geo-fence represented by the region to monitor, and causes display of a notification in response to the detection of the entries.

    Machine learning modeling using social graph signals

    公开(公告)号:US11966853B2

    公开(公告)日:2024-04-23

    申请号:US17225767

    申请日:2021-04-08

    Applicant: Snap Inc.

    CPC classification number: G06N5/022 G06F16/951 G06N20/00

    Abstract: Systems and methods are provided for receiving a request for lookalike data, the request for lookalike data comprising seed data and generating sample data from the seed data and from user data for a plurality of users, to use in a lookalike model training. The systems and methods further provide for capturing a snapshot of social graph data for a plurality of users and computing social graph features based on the seed data and the user data for the plurality of users, training a lookalike model based on the sample data and the computed social graph features to generate a trained lookalike model, generating a lookalike score for each user of the plurality of users in the user data using the trained lookalike model, and generating a list comprising a unique identifier for each user of the plurality of users and an associated lookalike score for each unique identifier.

    System to track visitation metrics

    公开(公告)号:US11218834B2

    公开(公告)日:2022-01-04

    申请号:US16872960

    申请日:2020-05-12

    Applicant: Snap Inc.

    Abstract: A visitation tracking system tracks user visitation to locations of interest to generate and report visualizations of the user visitation data. The visitation tracking system may be or include a group of one or more server machines configured to receive a user input specifying a location of interest, cause display of a presentation of a set of proximity borders within a region in response to the user input specifying the location of interest, wherein the region is based on the location of interest, receives a selection of a region to monitor (e.g., proximity borders, geo-fences), detects entries of client devices to a geo-fence represented by the region to monitor, and causes display of a notification in response to the detection of the entries.

    Systems, devices, and methods for content selection

    公开(公告)号:US11204949B1

    公开(公告)日:2021-12-21

    申请号:US16049318

    申请日:2018-07-30

    Applicant: Snap Inc.

    Abstract: Disclosed are systems, methods, and computer-readable storage media to present content on an electronic display. In one aspect, a method includes identifying a first candidate content and a second candidate content for presentation on an electronic display, determining a first probability and a second probability that the first candidate content and the second candidate content respectively will elicit a particular type of input response, determining a first weight and a second weight based on the first probability and the second probability respectively, selecting either the first content or the second content based on the first weight and the second weight; and presenting the selected content on the electronic display.

    MACHINE LEARNING MODELING USING SOCIAL GRAPH SIGNALS

    公开(公告)号:US20210224661A1

    公开(公告)日:2021-07-22

    申请号:US17225767

    申请日:2021-04-08

    Applicant: Snap Inc.

    Abstract: Systems and methods are provided for receiving a request for lookalike data, the request for lookalike data comprising seed data and generating sample data from the seed data and from user data for a plurality of users, to use in a lookalike model training. The systems and methods further provide for capturing a snapshot of social graph data for a plurality of users and computing social graph features based on the seed data and the user data for the plurality of users, training a lookalike model based on the sample data and the computed social graph features to generate a trained lookalike model, generating a lookalike score for each user of the plurality of users in the user data using the trained lookalike model, and generating a list comprising a unique identifier for each user of the plurality of users and an associated lookalike score for each unique identifier.

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