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:
May. 23, 2023

Filed:

Apr. 23, 2020
Applicant:

Oracle International Corporation, Redwood Shores, CA (US);

Inventors:

Vishal Vishnoi, Redwood City, CA (US);

Xin Xu, San Jose, CA (US);

Srinivasa Phani Kumar Gadde, Belmont, CA (US);

Fen Wang, Redwood City, CA (US);

Muruganantham Chinnananchi, Cupertino, CA (US);

Manish Parekh, San Jose, CA (US);

Stephen Andrew McRitchie, Palo Alto, CA (US);

Jae Min John, Redwood City, CA (US);

Crystal C. Pan, Palo Alto, CA (US);

Gautam Singaraju, Dublin, CA (US);

Saba Amsalu Teserra, Redwood Shores, CA (US);

Assignee:

ORACLE INTERNATIONAL CORPORATION, Redwood Shores, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2019.01); G10L 13/08 (2013.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G10L 13/08 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01);
Abstract

Techniques are described for invoking and switching between chatbots of a chatbot system. In some embodiments, the chatbot system is capable of routing an utterance received while a user is already interacting with a first chatbot in the chatbot system. For instance, the chatbot system may identify a second chatbot based on determining that (i) such an utterance is an invalid input to the first chatbot or (ii) that the first chatbot is attempting to route the utterance to a destination associated with the first chatbot. Identifying the second chatbot can involve computing, using a predictive model, separate confidence scores for the first chatbot and the second chatbot, and then determining that a confidence score for the second chatbot satisfies one or more confidence score thresholds. The utterance is then routed to the second chatbot based on the identifying of the second chatbot.


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