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. 25, 2023

Filed:

Oct. 15, 2020
Applicant:

Fmr Llc, Boston, MA (US);

Inventors:

Ankush Chopra, Bangalore, IN;

Shruti Agrawal, Bangalore, IN;

Assignee:

FMR LLC, Boston, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/289 (2020.01); G06F 16/2458 (2019.01); G06F 16/9032 (2019.01); G06N 20/00 (2019.01); G06F 40/211 (2020.01); G06F 40/30 (2020.01);
U.S. Cl.
CPC ...
G06F 40/289 (2020.01); G06F 16/2465 (2019.01); G06F 16/2468 (2019.01); G06F 16/90332 (2019.01); G06N 20/00 (2019.01); G06F 40/211 (2020.01); G06F 40/30 (2020.01);
Abstract

A computerized method is provided for automatically determining answers to a plurality of questions. The method includes automatically discovering a plurality of questions by processing historical data related to prior customer interactions. The automatically discovering includes applying a linguistic analytical model on the data related to historical customer interactions to detect the plurality of questions, vectoring the plurality of questions to generate mathematical representations of the questions, and grouping the plurality of questions into one or more clusters in accordance with similarities of the questions as measured based on their mathematical representations. The method also includes identifying the questions that do not have an existing answer. The method further includes determining at least one probable answer to each of the representative questions using a content mining technique that mines pertinent data from one or more identified content sources.


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