Analyzing geo-spatial data in layers

    公开(公告)号:US11140232B2

    公开(公告)日:2021-10-05

    申请号:US15633615

    申请日:2017-06-26

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes accessing a location history of a user of a social-networking system. The social-networking system includes a social graph that includes multiple nodes and edges connecting the nodes. At least node corresponds to the user. The method includes accessing a data set from a third-party source independent of the social-networking system. The data set references one or more locations. The method includes comparing the location history of the user with the locations referenced by the data set to determine an overlap between the location history and the data set and determining based on the comparison one or more labels to assign to the user or to one or more locations where the location history and the data set overlap.

    Analyzing Geo-Spatial Data in Layers
    2.
    发明申请

    公开(公告)号:US20180375945A1

    公开(公告)日:2018-12-27

    申请号:US15633615

    申请日:2017-06-26

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes accessing a location history of a user of a social-networking system. The social-networking system includes a social graph that includes multiple nodes and edges connecting the nodes. At least node corresponds to the user. The method includes accessing a data set from a third-party source independent of the social-networking system. The data set references one or more locations. The method includes comparing the location history of the user with the locations referenced by the data set to determine an overlap between the location history and the data set and determining based on the comparison one or more labels to assign to the user or to one or more locations where the location history and the data set overlap.

    LOCATION PREDICTION
    3.
    发明申请
    LOCATION PREDICTION 审中-公开

    公开(公告)号:US20200043046A1

    公开(公告)日:2020-02-06

    申请号:US16054367

    申请日:2018-08-03

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes analyzing social graph information associated with users of a social-networking system, developing feature vectors describing elements of social graph information, and applying the feature vectors to determine the relevance of elements of social graph information to the location of special relevance. The method further includes receiving at least one data point from a user's networked device, applying the feature vectors to the at least one data point to determine the relevance of the at least one data point to the location of special relevance, and assigning weight to each data point based on the determined relevance of each data point to the location of special relevance. Finally, the method includes processing the at least one data point according to its assigned weight and forming a prediction, to a particular degree of certainty, indicating the user's location of special relevance.

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