METHODS AND SYSTEMS OF AUTOMATED ASSISTANT IMPLEMENTATION AND MANAGEMENT

• US 20180129648A1
• Filed: 09/12/2017
• Published: 05/10/2018
• Est. Priority Date: 09/12/2016
• Status: Active Grant

• Current Assignee: Balakota Srinivas Vinnakota, Madhav Vodnala, Ram Menon, Sriram Chakravarthy
• Original Assignee: Ram Menon
• Inventors: Chakravarthy, Sriram, Vodnala, Madhav, Vinnakota, Balakota Srinivas, Menon, Ram
• Granted Patent: US 10,552,544 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 40/166 Editing, e.g. inserting or deleting
• CPC Class Codes: G06F 40/205 Parsing
• CPC Class Codes: G06F 40/58 Use of machine translation, e.g. for multi-lingual retrieval, for server-side translation for client devices or for real-time translation
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 3/006 based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]

Abstract

In one aspect, a computerized method useful for implementing and managing an Automated assistant translator between an Automated assistant service and a plurality of third-party messaging platforms includes the step of deploying an Automated assistant in a plurality of third-party messaging platforms. The method includes the step of, with the Automated assistant, receiving a conversational input from a human user via a first third-party messaging platform of the plurality of third-party messaging platforms. The method includes the step of parsing the conversation input. The method includes the step of determining a request for additional information in the conversation input. The method includes the step of retrieving a set of information relating to the request for additional information in the conversation input. The method includes the step of generating a natural-language output that includes the information. The method includes the step of providing the natural-language output to a translator system, wherein the translator system comprises one or more specific runtime translators that translate an Automated assistant output into each messaging platform'"'"'s protocol of the plurality of third-party messaging platforms. The method includes the step of, with the translator system, converting the natural-language output to a format of the first third-party messaging platform. The method includes the step of communicating the converted form of the natural-language output that is the format of the first third-party messaging platform to the first third-party messaging platform.

Claims

1. A computerized method useful for implementing and managing an Automated assistant translator between an Automated assistant service and a plurality of third-party messaging platforms comprising:

deploying an Automated assistant in a plurality of third-party messaging platforms;

with the Automated assistant;

receiving a conversational input from a human user via a first third-party messaging platform of the plurality of third-party messaging platforms;

parsing the conversation input;

determining a request for additional information in the conversation input;

retrieving a set of information relating to the request for additional information in the conversation input;

generating a natural-language output that includes the information; and

providing the natural-language output to a translator system, wherein the translator system comprises one or more specific runtime translators that translate an Automated assistant output into each messaging platform'"'"'s protocol of the plurality of third-party messaging platforms;

with the translator system;

converting the natural-language output to a format of the first third-party messaging platform; and

communicating the converted form of the natural-language output that is the format of the first third-party messaging platform to the first third-party messaging platform.

2. The computerized method of claim 1, wherein an Automated assistant comprises an automated virtual conversational agent that simulates a conversation with one or more human users using the natural-language output.

3. The computerized method of claim 2, wherein the natural-language output comprises an auditory natural-language output.

4. The computerized method of claim 3, wherein the natural-language output comprises a textual natural-language output.

5. The computerized method of claim 1, wherein the first third-party messaging platform comprises an online social networking messaging platform.

6. The computerized method of claim 5, wherein the first third-party messaging platform has a rule that prohibits commercial offers in a third-party messaging platform message.

7. The computerized method of claim 6 further comprising:

with the translator system;

detecting that the content of the natural-language output comprises a commercial offer;

removing the commercial offer content of the natural-language output;

generating a hyperlink to a webpage with additional information about the commercial offer; and

inserting the hyperlink into the converted form of the natural-language output that is the format of the first third-party messaging platform.

8. The computerized method of claim 5, wherein the first third-party messaging platform has a rule that limits a number of text characters in the third-party messaging platform message.

9. The computerized method of claim 8 further comprising:

with the translator system;

detecting that the content of the natural-language output exceeds the rule that limits the number of text characters;

shortening the content of the natural-language below a number of text characters below the rule that limits the number of text characters;

generating a hyperlink to a webpage with an unshortened version of the content of the natural-language output; and

inserting the hyperlink into the converted form of the natural-language output that is the format of the first third-party messaging platform.

10. A computer system useful for implementing and managing an Automated assistant translator between an Automated assistant service and a plurality of third-party messaging platforms comprising:

a processor;

a memory containing instructions when executed on the processor, causes the processor to perform operations that;

deploy an Automated assistant in a plurality of third-party messaging platforms;

with the Automated assistant;

receive a conversational input from a human user via a first third-party messaging platform of the plurality of third-party messaging platforms;

parse the conversation input;

determine a request for additional information in the conversation input;

retrieve a set of information relating to the request for additional information in the conversation input;

generate a natural-language output that includes the information; and

provide the natural-language output to a translator system, wherein the translator system comprises one or more specific runtime translators that translate an Automated assistant output into each messaging platform'"'"'s protocol of the plurality of third-party messaging platforms;

with the translator system;

convert the natural-language output to a format of the first third-party messaging platform; and

communicate the converted form of the natural-language output that is the format of the first third-party messaging platform to the first third-party messaging platform.

11. The computerized system of claim 10, wherein an Automated assistant comprises an automated virtual conversational agent that simulates a conversation with one or more human users using the natural-language output.

12. The computerized system of claim 11, wherein the natural-language output comprises an auditory natural-language output.

13. The computerized system of claim 12, wherein the natural-language output comprises a textual natural-language output.

14. The computerized system of claim 10, wherein the first third-party messaging platform comprises an online social networking messaging platform.

15. The computerized system of claim 14, wherein the first third-party messaging platform has a rule that prohibits commercial offers in a third-party messaging platform message.

16. The computerized system of claim 15 further comprising:

wherein the translator system;

detects that the content of the natural-language output comprises a commercial offer;

removes the commercial offer content of the natural-language output;

generates a hyperlink to a webpage with additional information about the commercial offer; and

inserts the hyperlink into the converted form of the natural-language output that is the format of the first third-party messaging platform.

17. The computerized system of claim 14, wherein the first third-party messaging platform has a rule that limits a number of text characters in the third-party messaging platform message.

18. The computerized system of claim 17 further comprising:

wherein the translator system;

detects that the content of the natural-language output exceeds the rule that limits the number of text characters;

shortens the content of the natural-language below a number of text characters below the rule that limits the number of text characters;

generates a hyperlink to a webpage with an unshortened version of the content of the natural-language output; and

inserts the hyperlink into the converted form of the natural-language output that is the format of the first third-party messaging platform.