Ming Te Liu

US Patent:

20230080407, Mar 16, 2023

Filed:

Sep 14, 2021

Appl. No.:

17/475145

Inventors:

- San Jose CA, US
Manasi Deshmukh - San Francisco CA, US
Ming Liu - Sunnyvale CA, US
Ashok Gupta - San Jose CA, US
Karthik Suresh - San Jose CA, US
Chirag Arora - San Jose CA, US
Jing Zheng - San Jose CA, US
Ravindra Sadaphule - San Jose CA, US
Vipul Dalal - Cupertino CA, US
Andrei Stefan - San Francisco CA, US

International Classification:

G06F 9/451
G06T 11/60
G06N 5/02
G06F 40/20

Abstract:

This disclosure describes methods, non-transitory computer readable storage media, and systems that generate a digital knowledge graph based on a plurality of tutorial content items to generate recommendations of digital resource items. Specifically, the disclosed system extracts a plurality of tasks, subject categories related to the tasks, and context signals related to an environment for the tasks from a plurality of tutorial content items for one or more digital content editing applications. The disclosed system generates a digital knowledge graph including nodes corresponding to the tasks and subject categories connected via edges based on relationships extracted from the tutorial content items. In some embodiments, the disclosed system also includes nodes corresponding to digital resource items in the digital knowledge graph or in a subgraph. The disclosed system utilizes the digital knowledge graph with context data to provide a recommendation of digital resource items for display at a client device.

US Patent:

20200314497, Oct 1, 2020

Filed:

Jun 12, 2020

Appl. No.:

16/900773

Inventors:

- Foster City CA, US
Weijia Li - Foster City CA, US
Ming Liu - Foster City CA, US
Saiguang Che - Belmont CA, US
Aditya Ravikumar Ganjam - San Francisco CA, US

International Classification:

H04N 21/466
H04N 21/258
H04N 21/45
H04N 21/25

Abstract:

Per-viewer engagement-based video optimization is disclosed. A request for content associated with a first client is received. A model associated with the first client is obtained. The obtained model comprises at least one of behavior and playback preferences of a viewer associated with the first client. The obtained model is used to determine, for the first client, an optimal set of instructions usable to obtain content. A different set of instructions is determined to be optimal for a second client. The optimal set of instructions determined for the client is provided as output. The first client is configured to obtain content according to the optimal set of instructions determined for the first client.