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:
Jan. 17, 2023

Filed:

Jul. 15, 2019
Applicant:

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

Inventors:

Elissa Backas, Sayreville, NJ (US);

Yang Qu, San Ramon, CA (US);

Hassan Chughtai, Bridgewater, NJ (US);

Maryam Samim, Metuchen, NJ (US);

Nelson Cuebas, Metuchen, NJ (US);

Roque Rios, III, Middletown, NJ (US);

Craig Scantlin, El Cajon, CA (US);

Donghoon Shin, San Ramon, CA (US);

Heesook Choi, San Ramon, CA (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 16/35 (2019.01); H04L 41/5074 (2022.01); G06N 20/00 (2019.01); H04L 51/02 (2022.01); G06K 9/62 (2022.01); G06F 40/20 (2020.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 40/20 (2020.01); G06K 9/6218 (2013.01); G06K 9/6267 (2013.01); H04L 51/02 (2013.01);
Abstract

Aspects of the subject disclosure may include, for example, a method in which a processing system collects information associated with trouble tickets each including a problem abstract and a log text. The method includes analyzing the log text to obtain a problem resolution for that ticket; defining ticket clusters according to the problem abstracts, and labeling the clusters. The processing system creates a library of the labeled clusters, each entry including a cluster label, a problem abstract for that cluster, and a resolution summary for that problem abstract, indicating a mapping of the problem abstract to the resolution summary for that cluster. The method includes training, based on the mapping, machine-learning applications for a predicted resolution summary for each cluster and for classifying a new ticket. The method includes assigning the new ticket to a cluster according to the classifying. Other embodiments are disclosed.


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