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. 10, 2023

Filed:

Nov. 21, 2019
Applicant:

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

Inventors:

Raghu Kiran Ganti, White Plains, NY (US);

Mudhakar Srivatsa, White Plains, NY (US);

Shreeranjani Srirangamsridharan, White Plains, NY (US);

Yeon-sup Lim, White Plains, NY (US);

Linsong Chu, White Plains, NY (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); H04L 51/02 (2022.01); G06N 7/00 (2006.01); G06F 8/60 (2018.01); G06N 3/00 (2006.01); G06N 3/08 (2006.01); G06F 40/30 (2020.01); G06Q 10/06 (2012.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 8/60 (2013.01); G06F 40/30 (2020.01); G06N 3/006 (2013.01); G06N 3/08 (2013.01); G06N 7/005 (2013.01); G06Q 10/06316 (2013.01); H04L 51/02 (2013.01); G05B 2219/32334 (2013.01); G05B 2219/33056 (2013.01);
Abstract

A computer-implemented method for generating and deploying a reinforced learning model to train a chatbot. The method includes selecting a plurality of conversations, wherein each conversation includes an agent and a user. The method includes identifying, in each of the conversations, a set of turns and on or more topics. The method further includes associating one or more topics to each turn of the set of turns. The method includes, generating a conversation flow for each conversation, wherein the conversation flow identifies a sequence of the topics. The method includes applying an outcome score to each conversation. The method includes creating a reinforced learning (RL) model, wherein the RL model includes a Markov is based on the conversation flow of each conversation and the outcome score of each conversation. The method includes deploying the RL model, wherein the deploying includes sending the RL model to a chatbot.


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