POINTS OF INTEREST IN A LOCATION SHARING SYSTEM

    公开(公告)号:US20210377693A1

    公开(公告)日:2021-12-02

    申请号:US17346065

    申请日:2021-06-11

    Applicant: Snap Inc.

    Abstract: Systems, and methods for predicting that a user is located at a labeled place corresponding to a point of interest. A server computer accesses historical data comprising location data, and wireless network data collected from a plurality of client devices of a plurality of users over a period of time. For one or more labeled places, the data points corresponding to one of the users being located at the labeled place are identified. A labeled dataset is generated by tagging the identified data points with a label corresponding to the corresponding labeled place. A machine learning model is trained on the labeled dataset, so that when current location data are receiving from a client device of a user, it is possible to determine, using the trained machine learning model, whether the user is located at one of the one or more labeled places.

    Points of interest in a location sharing system

    公开(公告)号:US11638115B2

    公开(公告)日:2023-04-25

    申请号:US17346065

    申请日:2021-06-11

    Applicant: Snap Inc.

    Abstract: Systems, and methods for predicting that a user is located at a labeled place corresponding to a point of interest. A server computer accesses historical data comprising location data, and wireless network data collected from a plurality of client devices of a plurality of users over a period of time. For one or more labeled places, the data points corresponding to one of the users being located at the labeled place are identified. A labeled dataset is generated by tagging the identified data points with a label corresponding to the corresponding labeled place. A machine learning model is trained on the labeled dataset, so that when current location data are receiving from a client device of a user, it is possible to determine, using the trained machine learning model, whether the user is located at one of the one or more labeled places.

    GROUPED TRANSMISSION OF LOCATION DATA IN A LOCATION SHARING SYSTEM

    公开(公告)号:US20220174455A1

    公开(公告)日:2022-06-02

    申请号:US17515996

    申请日:2021-11-01

    Applicant: Snap Inc.

    Inventor: Eric Guillaume

    Abstract: Methods, systems, and devices for grouped transmission of location data in a location sharing system. Consistent with some embodiments, a first client device of a first user receives, over a wireless communication network (e.g., a wireless local area network (WLAN)), a request for location data. The first client device, broadcasts a probe request via a first wireless communication channel using a more energy efficient communication technology (e.g., Bluetooth®) than the wireless communication network. The first client device receives, from one or more second client devices running the location sharing client application, each second client device being associated with a second user, a probe response. Upon receiving the one or more probe responses, the first client device sends, to the server, over the wireless communication network, an electronic communication containing location data of the first and of the one or more second users.

    Grouped transmission of location data in a location sharing system

    公开(公告)号:US11166123B1

    公开(公告)日:2021-11-02

    申请号:US16368363

    申请日:2019-03-28

    Applicant: Snap Inc.

    Inventor: Eric Guillaume

    Abstract: Methods, systems, and devices for grouped transmission of location data in a location sharing system. Consistent with some embodiments, a first client device of a first user receives, over a wireless communication network (e.g., a wireless local area network (WLAN)), a request for location data. The first client device, broadcasts a probe request via a first wireless communication channel using a more energy efficient communication technology (e.g., Bluetooth®) than the wireless communication network. The first client device receives, from one or more second client devices running the location sharing client application, each second client device being associated with a second user, a probe response. Upon receiving the one or more probe responses, the first client device sends, to the server, over the wireless communication network, an electronic communication containing location data of the first and of the one or more second users.

    Points of interest in a location sharing system

    公开(公告)号:US11039270B2

    公开(公告)日:2021-06-15

    申请号:US16864658

    申请日:2020-05-01

    Applicant: Snap Inc.

    Abstract: Systems, and methods for predicting that a user is located at a labeled place corresponding to a point of interest. A server computer accesses historical data comprising location data, and wireless network data collected from a plurality of client devices of a plurality of users over a period of time. For one or more labeled places, the data points corresponding to one of the users being located at the labeled place are identified. A labeled dataset is generated by tagging the identified data points with a label corresponding to the corresponding labeled place. A machine learning model is trained on the labeled dataset, so that when current location data are receiving from a client device of a user, it is possible to determine, using the trained machine learning model, whether the user is located at one of the one or more labeled places.

    POINTS OF INTEREST IN A LOCATION SHARING SYSTEM

    公开(公告)号:US20200314586A1

    公开(公告)日:2020-10-01

    申请号:US16864658

    申请日:2020-05-01

    Applicant: Snap Inc.

    Abstract: Systems, and methods for predicting that a user is located at a labeled place corresponding to a point of interest. A server computer accesses historical data comprising location data, and wireless network data collected from a plurality of client devices of a plurality of users over a period of time. For one or more labeled places, the data points corresponding to one of the users being located at the labeled place are identified. A labeled dataset is generated by tagging the identified data points with a label corresponding to the corresponding labeled place. A machine learning model is trained on the labeled dataset, so that when current location data are receiving from a client device of a user, it is possible to determine, using the trained machine learning model, whether the user is located at one of the one or more labeled places.

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