Lillian L Zheng

US Patent:

20230052351, Feb 16, 2023

Filed:

Nov 1, 2022

Appl. No.:

17/978712

Inventors:

- Santa Monica CA, US
Walton Lin - Chatham NJ, US
Andrew Lin - Long Island City NY, US
Amer Shahnawaz - Venice CA, US
Leonid Gorkin - Chappaqua NY, US
Amber Taylor - Seattle WA, US
Lillian Zheng - Los Angeles CA, US
Eric Wood - Los Angeles CA, US

International Classification:

G06N 7/00
G06V 20/00
G06N 20/00
G06V 10/40
G06K 9/62
G01W 1/02

Abstract:

Systems and methods are provided for analyzing messages generated by a plurality of computing devices associated with a plurality of users in a messaging system to generate training data to train a machine learning model to determine a probability that a media content item was generated inside an enclosed location or outside, receiving a media content item from a computing device, analyzing the media content item using the trained machine learning model to determine a probability that the media content item was generated inside an enclosed location or outside, determining, based on the probability generated by the trained machine learning model, that the media content item was generated inside an enclosed location, and determining an inside temperature associated with the venue based on messages generated by a plurality of computing devices in a messaging system comprising media content items and temperature information for the venue or a similar venue type.

US Patent:

20200342341, Oct 29, 2020

Filed:

Jul 14, 2020

Appl. No.:

16/928959

Inventors:

- Santa Monica CA, US
Walton Lin - New York NY, US
Andrew Lin - Long Island City NY, US
Amer Shahnawaz - Venice CA, US
Leonid Gorkin - Chappaqua NY, US
Amber Taylor - Seattle WA, US
Lillian Zheng - Los Angeles CA, US
Eric Wood - Los Angeles CA, US

International Classification:

G06N 7/00
G06K 9/62
G01W 1/02
G06K 9/00
G06K 9/46
G06N 20/00

Abstract:

Systems and methods are provided for analyzing messages generated by a plurality of computing devices associated with a plurality of users in a messaging system to generate training data to train a machine learning model to determine a probability that a media content item was generated inside an enclosed location or outside, receiving a media content item from a computing device, analyzing the media content item using the trained machine learning model to determine a probability that the media content item was generated inside an enclosed location or outside, determining, based on the probability generated by the trained machine learning model, that the media content item was generated inside an enclosed location, and determining an inside temperature associated with the venue based on messages generated by a plurality of computing devices in a messaging system comprising media content items and temperature information for the venue or a similar venue type.