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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.
Inventor： David Bouba , Eric Guillaume , Xabier Jaureguiberry
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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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.
Inventor： David Bouba , Eric Guillaume , Xabier Jaureguiberry
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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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.
Inventor： David Bouba , Eric Guillaume , Xabier Jaureguiberry
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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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.
Inventor： David Bouba , Eric Guillaume , Xabier Jaureguiberry
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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