公开(公告)号：US10251018B1

公开(公告)日：2019-04-02

申请号：US15711868

申请日：2017-09-21

Applicant: Facebook, Inc.

Inventor： Tom Susel ,  Benjamin Tucker Savage

IPC: H04W4/02 ,  G06N99/00 ,  H04W88/08 ,  H04W64/00 ,  G06Q50/00

Abstract: An online system receives a request from a user of a manager transmitter to generate a unique beacon identifier (ID) associated with a physical location. Responsive to receiving the beacon ID from the online system, the manager transmitter transmits a Bluetooth signal comprising the beacon ID to user client devices, which send the beacon ID to the online system for identification. Responsive to detecting that a received signal strength exceeds a threshold, a location context module classifies the instance of the user client device detecting the signal as an example of a user being present at the physical location. A location prediction module uses the instance as training data to train a machine-learning model to predict the presence of online system users at the physical location.

公开(公告)号：US10757530B1

公开(公告)日：2020-08-25

申请号：US16234428

申请日：2018-12-27

Applicant: Facebook, Inc.

Inventor： Tom Susel ,  Benjamin Tucker Savage

IPC: H04W4/02 ,  H04W64/00 ,  H04W88/08 ,  G06N20/00 ,  G06Q50/00

Abstract: An online system receives a request from a user of a manager transmitter to generate a unique beacon identifier (ID) associated with a physical location. Responsive to receiving the beacon ID from the online system, the manager transmitter transmits a Bluetooth signal comprising the beacon ID to user client devices, which send the beacon ID to the online system for identification. Responsive to detecting that a received signal strength exceeds a threshold, a location context module classifies the instance of the user client device detecting the signal as an example of a user being present at the physical location. A location prediction module uses the instance as training data to train a machine-learning model to predict the presence of online system users at the physical location.