US Patent Application 18234226. DEVICE LOCATION BASED ON MACHINE LEARNING CLASSIFICATIONS simplified abstract
Contents
DEVICE LOCATION BASED ON MACHINE LEARNING CLASSIFICATIONS
Organization Name
Inventor(s)
Ebony James Charlton of Los Angeles CA (US)
Sumant Hanumante of Marina Del Rey CA (US)
Dhritiman Sagar of Marina del Rey CA (US)
DEVICE LOCATION BASED ON MACHINE LEARNING CLASSIFICATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18234226 titled 'DEVICE LOCATION BASED ON MACHINE LEARNING CLASSIFICATIONS
Simplified Explanation
- The patent application describes a system where a client device can request location information from a server. - The server returns a list of venues that are near the client device's location. - The client device uses machine learning algorithms, such as convolutional neural networks, to determine which specific venue it is located in. - Based on the venue selection, the system selects appropriate imagery for presentation. - The presentation is published as an ephemeral message on a network platform.
Original Abstract Submitted
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.
