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:
Jun. 25, 2024

Filed:

Mar. 23, 2023
Applicant:

Adp, Inc., Roseland, NJ (US);

Inventors:

Leandro Bianchini, Porto Alegre, BR;

Renata Palazzo, Porto Alegre, BR;

Israel Oliveira, Porto Alegre, BR;

Allan Barcelos, Porto Alegre, BR;

Fernanda Tosca, Porto Alegre, BR;

Assignee:

ADP, Inc., Roseland, NJ (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/28 (2019.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G06Q 10/10 (2023.01); G06V 30/418 (2022.01); H04L 67/01 (2022.01);
U.S. Cl.
CPC ...
G06F 16/285 (2019.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 10/10 (2013.01); G06V 30/418 (2022.01); H04L 67/01 (2022.05);
Abstract

A method of latent intent clustering is provided. The method comprises encoding identified features in a number of electronic user reports in a database. A binary matrix is created, wherein each row of the binary matric represents a different report and each column represents a different available feature. A 1 is placed in each cell of the matrix that matches a feature present in a user report. Cosine similarities are calculated for the user reports, and a similarity matrix is created, wherein each row and column of the binary matrix represents a different report, and wherein the cosine similarities of the reports are placed in corresponding cells of the matrix. The reports are clustered according to the cosine similarities. Features common to reports in each cluster are identified, and an intent of each report cluster is labeled according to the common features.


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