The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 11, 2023

Filed:

Feb. 05, 2020
Applicant:

At&t Intellectual Property I, L.p., Atlanta, GA (US);

Inventors:

Prince Paulraj, Coppell, TX (US);

Shilpi Harpavat, Plano, TX (US);

Weiping Liu, Plano, TX (US);

Shreyash Taywade, Dallas, TX (US);

Arjun Coimbatore Nagarasan, Lewisville, TX (US);

Yukun Zeng, Plano, TX (US);

Prabhu Gururaj, McKinney, TX (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 7/00 (2006.01); G06F 16/22 (2019.01); G06N 20/00 (2019.01); G06Q 40/02 (2023.01); G06Q 30/0201 (2023.01); G06Q 30/016 (2023.01); G06N 5/04 (2023.01);
U.S. Cl.
CPC ...
G06F 16/2272 (2019.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 30/016 (2013.01); G06Q 30/0201 (2013.01); G06Q 40/02 (2013.01);
Abstract

In another example, a device includes a processor and a computer-readable medium storing instructions which, when executed by the processor, cause the processor to perform operations. The operations include acquiring a plurality of data items from a plurality of data sources, wherein the at least two data sources data sources of the plurality of data sources are maintained by different entities, normalizing attributes of the plurality of data items, using a first machine learning technique, matching at least two data items of the plurality of data items to form a grouping, wherein the matching is based on similarities observed in the attributes of the at least two data items subsequent to the normalizing, and creating a single profile for an individual associated with the at least two data items, based on the grouping, wherein the single profile consolidates the attributes of the at least two data items.


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