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. 30, 2024

Filed:

Feb. 01, 2018
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Giuseppe Ciano, Rome, IT;

Pietro Marella, Rome, IT;

Leonardo Modeo, Rome, IT;

Luigi Pichetti, Rome, IT;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04L 51/00 (2022.01); G06F 40/35 (2020.01); H04L 51/02 (2022.01); G06N 5/02 (2023.01); G06N 20/00 (2019.01); G06F 40/30 (2020.01); G06F 40/56 (2020.01); G06F 40/216 (2020.01);
U.S. Cl.
CPC ...
G06F 40/35 (2020.01); G06F 40/216 (2020.01); G06F 40/30 (2020.01); G06F 40/56 (2020.01); G06N 5/02 (2013.01); G06N 20/00 (2019.01); H04L 51/02 (2013.01);
Abstract

An approach is described with respect to dynamically constructing and configuring a conversational agent learning model. Various aspects of the conversational agent learning model may be constructed and updated without continuous intervention of a domain administrator. A method pertaining to such approach may include retrieving a corpus of information. The corpus of information may include records from a set of repositories and external data, including data from social networks or applications. The method further may include configuring the conversational agent learning model based upon the retrieved corpus of information. The method further may include deploying the conversational agent learning model by facilitating interaction between the conversational agent learning model and a plurality of clients. The method further may include updating the conversational agent learning model to address any modification to the corpus of information.


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