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    Query matching to media collections in a messaging system
    1.
    发明授权
    Query matching to media collections in a messaging system 有权

    公开(公告)号：US11328008B2

    公开(公告)日：2022-05-10

    申请号：US16844300

    申请日：2020-04-09

    Applicant: Snap Inc.

    Inventor： Xinran He ,  Jie Luo ,  Sushobhan Nayak ,  Zhou Ren ,  Christophe Jacky Henri Van Gysel

    IPC: G06F16/435 ,  G06Q50/00 ,  G06N20/00 ,  G06F16/951 ,  G06F16/2457

    Abstract: Systems and methods are provided for generating training data from queries and user interactions associated with media collections related to the queries, and training a machine learning model using the generated training data to generate a trained machine learning model. The systems and methods further provide for receiving a prediction request comprising a query for relevant media collections, analyzing the query to determine query features, determining a plurality of media collections for the query, analyzing the plurality of media collections to determine media collection features for each media collection of the plurality of media collections, and generating, using the trained machine learning model, a semantic matching score for each media collection of the plurality of media collections based on matching the query features to the media collection features for each media collection of the plurality of media collections.

    Event detection system
    3.
    发明授权
    Event detection system 有权

    公开(公告)号：US10896197B1

    公开(公告)日：2021-01-19

    申请号：US16057565

    申请日：2018-08-07

    Applicant: Snap Inc.

    Inventor： Yupeng Gu ,  Xiaolin Shi ,  Jie Luo

    IPC: G06F16/26 ,  G06F16/29 ,  G06F16/438 ,  G06F16/487 ,  G06F16/48 ,  G06F16/2457 ,  G06T11/20

    Abstract: An event detection system is configured to access a repository that contains a collection of media content. The media content may for example include images, videos, audio clips, and the like, wherein the media content comprises features that include: tags (e.g., hashtags or other similar mechanisms to label and sort content); captions that comprises one or more words or phrases; continuous numerical values; geolocation data (e.g., geo-hash, check-in data, coordinates); as well as temporal data (e.g., timestamps).

    EVENT DETECTION SYSTEM
    6.
    发明申请
    EVENT DETECTION SYSTEM 有权

    公开(公告)号：US20210117439A1

    公开(公告)日：2021-04-22

    申请号：US17131444

    申请日：2020-12-22

    Applicant: Snap Inc.

    Inventor： Yupeng Gu ,  Xiaolin Shi ,  Jie Luo

    IPC: G06F16/26 ,  G06F16/438 ,  G06F16/2457 ,  G06F16/487 ,  G06F16/29 ,  G06F16/48

    Abstract: An event detection system is configured to access a repository that contains a collection of media content. The media content may for example include images, videos, audio clips, and the like, wherein the media content comprises features that include: tags (e.g., hashtags or other similar mechanisms to label and sort content); captions that comprises one or more words or phrases; continuous numerical values; geolocation data (e.g., geo-hash, check-in data, coordinates); as well as temporal data (e.g., timestamps).

    QUERY MATCHING TO MEDIA COLLECTIONS IN A MESSAGING SYSTEM
    7.
    发明申请
    QUERY MATCHING TO MEDIA COLLECTIONS IN A MESSAGING SYSTEM 审中-公开

    公开(公告)号：US20200233893A1

    公开(公告)日：2020-07-23

    申请号：US16844300

    申请日：2020-04-09

    Applicant: Snap Inc.

    Inventor： Xinran He ,  Jie Luo ,  Sushobhan Nayak ,  Zhou Ren ,  Christophe Jacky Henri Van Gyse

    IPC: G06F16/435 ,  G06N20/00 ,  G06F16/951 ,  G06F16/2457 ,  G06Q50/00

    Abstract: Systems and methods are provided for generating training data from queries and user interactions associated with media collections related to the queries, and training a machine learning model using the generated training data to generate a trained machine learning model. The systems and methods further provide for receiving a prediction request comprising a query for relevant media collections, analyzing the query to determine query features, determining a plurality of media collections for the query, analyzing the plurality of media collections to determine media collection features for each media collection of the plurality of media collections, and generating, using the trained machine learning model, a semantic matching score for each media collection of the plurality of media collections based on matching the query features to the media collection features for each media collection of the plurality of media collections.

    Social graph refinement
    8.
    发明授权
    Social graph refinement 有权

    公开(公告)号：US11868916B1

    公开(公告)日：2024-01-09

    申请号：US15675651

    申请日：2017-08-11

    Applicant: Snap Inc.

    Inventor： Jia Li ,  Jie Luo ,  Ji Yang ,  Lin Zhong

    IPC: G06N7/01 ,  G06N20/00 ,  G06Q50/00 ,  G06N5/048

    CPC classification number: G06N7/01 ,  G06N20/00 ,  G06Q50/01 ,  G05B2219/40438 ,  G05B2219/40446 ,  G06N5/048

    Abstract: A social networking application provides for automated link and/or content recommendation to users of a social media platform by automated social graph refinement that augments a baseline social graph with predicted links and inferred labels by iteratively (a) propagating attribute labels through optimizing attribute label similarity between user nodes constrained by closeness of links between the users, and (b) predicting links between users through optimizing link closeness constrained by label similarity. Each label inference iteration is based on predicted labels generated in and immediately prior link prediction iteration, and each link prediction iteration is based on inferred labels generated in and immediately prior label inference iteration.

    Query matching to media collections in a messaging system
    10.
    发明授权
    Query matching to media collections in a messaging system 有权

    公开(公告)号：US10664512B1

    公开(公告)日：2020-05-26

    申请号：US15895821

    申请日：2018-02-13

    Applicant: Snap Inc.

    Inventor： Xinran He ,  Jie Luo ,  Sushobhan Nayak ,  Zhou Ren ,  Christophe Jacky Henri Van Gysel

    IPC: G06F16/435 ,  G06Q50/00 ,  G06N20/00 ,  G06F16/951 ,  G06F16/2457

    Abstract: Systems and methods are provided for generating training data from queries and user interactions associated with media collections related to the queries, and training a machine learning model using the generated training data to generate a trained machine learning model. The systems and methods further provide for receiving a prediction request comprising a query for relevant media collections, analyzing the query to determine query features, determining a plurality of media collections for the query, analyzing the plurality of media collections to determine media collection features for each media collection of the plurality of media collections, and generating, using the trained machine learning model, a semantic matching score for each media collection of the plurality of media collections based on matching the query features to the media collection features for each media collection of the plurality of media collections.

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