Quoc V Tran

US Patent:

20070198920, Aug 23, 2007

Filed:

Dec 31, 2003

Appl. No.:

10/749861

Inventors:

Stratton Lloyd - Seattle WA, US
Quoc Tran - Mountain View CA, US

International Classification:

G06F 17/00

US Classification:

715515000, 715513000, 715501100, 715500000

Abstract:

A method and system for generating and presenting a display page before all the desired computations are performed needed to fully populate the display page. The presentation system receives a request to present the display page that includes realtime information and non-realtime information. When generating a display page including both realtime and non-realtime information, the presentation system retrieves the realtime information and requests that the non-realtime information be generated. The presentation system then creates an initial display page that includes the realtime information along with an indication that the generation of the non-realtime information has been requested. When the presentation system next generates that display page, it checks whether the non-realtime information has been generated. If so, the presentation system adds the realtime information and non-realtime information to the display page.

US Patent:

20210042663, Feb 11, 2021

Filed:

Aug 10, 2020

Appl. No.:

16/989762

Inventors:

- Seattle WA, US
Ryan Grose - Edmonds WA, US
Harrison Friia - Mays Landing NJ, US
Quoc Vong Tran - Austin TX, US

International Classification:

G06N 20/00
G06K 9/62
G06T 15/20
G06T 7/70
G06T 7/11
G06K 9/34
G06K 9/46

Abstract:

Techniques are described herein for providing data attribution based on spatial memory using a machine learning pipeline. The techniques include receiving, from a client device, an image of an object, wherein the image appended with object-specific data. The techniques further include extracting one or more features of the object from the object-specific data. The features may be included in a product catalog from one or more data sources. Based at least on one or more features associated with the object, a suggested category for the image is determined and associated with the image. The suggested category and the image may be used to train a machine learning model via a machine learning classification algorithm to predict a label for the image. The machine learning model is applied to assign the label to the image based at least on the suggested category.