Invention Grant
- Patent Title: Improving computer model accuracy in predicting location of online system users
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Application No.: US15711868Application Date: 2017-09-21
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Publication No.: US10251018B1Publication Date: 2019-04-02
- Inventor: Tom Susel , Benjamin Tucker Savage
- Applicant: Facebook, Inc.
- Applicant Address: US CA Menlo Park
- Assignee: Facebook, Inc.
- Current Assignee: Facebook, Inc.
- Current Assignee Address: US CA Menlo Park
- Agency: Fenwick & West LLP
- Main IPC: H04W4/02
- 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.
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