Invention Grant
- Patent Title: Device location based on machine learning classifications
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Application No.: US15967201Application Date: 2018-04-30
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Publication No.: US10264422B2Publication Date: 2019-04-16
- Inventor: Ebony James Charlton , Sumant Hanumante , Zhou Ren , Dhritiman Sagar
- Applicant: Snap Inc.
- Applicant Address: US CA Santa Monica
- Assignee: Snap Inc.
- Current Assignee: Snap Inc.
- Current Assignee Address: US CA Santa Monica
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: H04W4/33
- IPC: H04W4/33 ; G06K9/00 ; H04L12/58 ; G06K9/62 ; H04W88/02 ; G06T11/60

Abstract:
A venue system of a client device can submit a location request to a server, which returns multiple venues that are near the client device. The client device can use one or more machine learning schemes (e.g., convolutional neural networks) to determine that the client device is located in one of specific venues of the possible venues. The venue system can further select imagery for presentation based on the venue selection. The presentation may be published as ephemeral message on a network platform.
Public/Granted literature
- US20190069147A1 DEVICE LOCATION BASED ON MACHINE LEARNING CLASSIFICATIONS Public/Granted day:2019-02-28
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