Linh H Le

US Patent:

20220391435, Dec 8, 2022

Filed:

Aug 17, 2022

Appl. No.:

17/820249

Inventors:

- Atlanta GA, US
Linh LE - Kennesaw GA, US

International Classification:

G06F 16/583
G06K 9/62
G06N 3/04
G06N 3/08
G06F 16/903

Abstract:

Certain aspects involve a machine-learning query system that uses a dual deep learning network to service queries and other requests. In one example, a machine-learning query system services a query received from a client computing system. A dual deep learning network included in the machine-learning query system matches an unstructured input data object, received from the client computing system, to an unstructured reference data object. The matching may include generating an input feature vector by an embedding subnetwork, based on the unstructured input data object. The matching may also include generating an output probability by a relationship subnetwork, based on the input feature vector and a relationship feature vector that is based on the unstructured reference data object. The machine-learning query system may transmit a responsive message to the client system.

US Patent:

20190095464, Mar 28, 2019

Filed:

Sep 25, 2018

Appl. No.:

16/141152

Inventors:

- Atlanta GA, US
Linh Le - Kennesaw GA, US

International Classification:

G06F 17/30
G06N 3/08
G06N 3/04
G06K 9/62

Abstract:

Certain aspects involve a machine-learning query system that uses a dual deep learning network to service queries and other requests. In one example, a machine-learning query system services a query received from a client computing system. A dual deep learning network included in the machine-learning query system matches an unstructured input data object, received from the client computing system, to an unstructured reference data object. The matching may include generating an input feature vector by an embedding subnetwork, based on the unstructured input data object. The matching may also include generating an output probability by a relationship subnetwork, based on the input feature vector and a relationship feature vector that is based on the unstructured reference data object. The machine-learning query system may transmit a responsive message to the client system.