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. 05, 2021

Filed:

Oct. 17, 2018
Applicant:

Royal Bank of Canada, Montreal, CA;

Inventors:

Chai K. Lam, Toronto, CA;

Xuong Hue Tran, Toronto, CA;

Kulbinder Mann, Toronto, CA;

Lori May Beesack, Toronto, CA;

Edward C. Wong, Toronto, CA;

Assignee:

ROYAL BANK OF CANADA, Toronto, CA;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/30 (2020.01); G06Q 10/10 (2012.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); G06F 16/22 (2019.01); G06F 16/2452 (2019.01); G06F 40/35 (2020.01); G06F 40/205 (2020.01); G06F 40/284 (2020.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 16/2246 (2019.01); G06F 16/24522 (2019.01); G06F 40/205 (2020.01); G06F 40/284 (2020.01); G06F 40/35 (2020.01); G06N 3/0427 (2013.01); G06N 3/08 (2013.01); G06Q 10/1053 (2013.01);
Abstract

Computer-implemented systems and methods are provided for improved generation and control of conversations. A computing device is utilized to control or simulate conversation using estimated contextual cues extracted from profile information or prior responses. The computing device is configured to automatically tailor a flow of a conversation to an effort to improve relevancy and engagement without the need of a human operator to manually tailor the conversation, which, for example, could be impractically expensive. A structured workflow is maintained in the form of a series of conversation decisions, and a machine learning engine is utilized to maintain a continuously trained data structure that generates predictions that bias conversation decisions (e.g., by weighting tree options) for tailoring the conversation flow.


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