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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.

Patent No.:

US 12164409 B1

PDFFull Text
Date of Patent:
Dec. 10, 2024

Filed:

Nov. 15, 2019

Machine learning systems and methods to corroborate and forecast user experience issues on web or mobile applications utilizing user verbatim, machine logs and user interface interaction analytics

Applicant:

Citicorp Credit Services, Inc. (Usa), Sioux Falls, SD (US);

Inventors:

Rajendra Kishore Thota, Frisco, TX (US);

Anirban Dhar Chowdhury, Allen, TX (US);

Keerthivasan Rajagopalan, Irving, TX (US);

Bhanuprakash Reddy Nalamadgu, Richardson, TX (US);

Ashutosh Sureka, Coppell, TX (US);

Shadman Zafar, Plano, TX (US);

Assignee:

CITICORP CREDIT SERVICES, INC. (USA), Sioux Falls, SD (US);

Attorney:

Perkins Coie LLP

Primary Examiner:

Sangeeta Bahl

Assistant Examiner:

Joshua D Schneider

Int. Cl.
CPC ...
G06F 11/34 (2006.01); G06F 18/24 (2023.01); G06N 20/00 (2019.01); G06Q 30/016 (2023.01); H04L 41/5074 (2022.01);
U.S. Cl.
CPC ...
G06F 11/3438 (2013.01); G06F 11/3476 (2013.01); G06F 18/24 (2023.01); G06N 20/00 (2019.01); G06Q 30/016 (2013.01); H04L 41/5074 (2013.01);
Abstract

Systems and methods for data corroboration and forecasting in which a sever generates structured customer feedback data from unstructured customer verbatim data and uses unsupervised machine learning modeling techniques to identify similar word clusters within the structured customer feedback data, classifies the identified word clusters into multiple categories of customer issues, and detects one or more trending customer issues within the multiple categories. The server may also retrieve web/mobile application usage analytics data and system logs data and use unsupervised machine learning modeling techniques to corroborate customer web/mobile navigation and service issues associated with the structured customer feedback data.

Find Patent Forward Citations

Thota, Rajendra. (2024). Machine learning systems and methods to corroborate and forecast user experience issues on web or mobile applications utilizing user verbatim, machine logs and user interface interaction analytics (U.S. Patent No. 12164409). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12164409

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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