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:
Aug. 22, 2023

Filed:

Apr. 18, 2022
Applicant:

Bank of America Corporation, Charlotte, NC (US);

Inventors:

Ramakrishna R. Yannam, Plano, TX (US);

Prejish Thomas, Plano, TX (US);

Steven Zhao, Plano, TX (US);

Saahithi Chillara, Plano, TX (US);

Rajan Jhaveri, Plano, TX (US);

Ryan Strug, Plano, TX (US);

Kurt R. Schultz, Westlake Village, CA (US);

Priyank Shah, Plano, TX (US);

Assignee:

Bank of America Corporation, Charlotte, NC (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04L 51/02 (2022.01); H04L 51/216 (2022.01); G06N 3/08 (2023.01); G06N 3/04 (2023.01); H04L 51/224 (2022.01);
U.S. Cl.
CPC ...
H04L 51/02 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); H04L 51/216 (2022.05); H04L 51/224 (2022.05);
Abstract

A system for condensing user communications relating to a topic is provided. The system may include a processor and a non-transitory memory. The processor may: designate a topic of user interest; retrieve legacy communications; and remove duplicative communications. The processor may form a topic-centric training set for a neural network. The topic-centric training set may be based on the legacy communications, legacy intelligence, and the plurality of outcomes and may be delimited by an analysis of the database. The processor may synthesize the neural network using the topic-centric training set in order to assign individual weights to each of a plurality of nodes in the neural network. In response to a selection of the topic of user interest, the processor may generate a plurality of user options based on the neural network. The system may include a display in order to prompt the user to select one of the options.


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