IP Library › Granted Patent US 12,307,388
Granted Patent B2
US 12,307,388 · App. 18/754,575 · Granted May 20, 2025

Probabilistically tunable conversational method and system

Inventors: Steven Dennis Flinn (Sugar Land, TX); Naomi Felina Moneypenny (Bellevue, WA)
Assignee: ManyWorlds, Inc.
G06N5/048G06F16/24575G06F16/9535G06Q50/01H04L51/216G06F40/56
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Quick Facts
Patent No.
US 12,307,388
App. No.
18/754,575
Granted
May 20, 2025
Kind
B2
Abstract

A probabilistically tunable conversational method and system receives information and a conversational tuning control setting from a user. The conversational tuning control setting is applied by a probabilistic selection algorithm to select, responsive to the information, a first syntactical element. A second syntactical element is selected in accordance with the first syntactical element and the probabilistic selection algorithm. A communication is generated and delivered to the user that comprises the first and second syntactical elements.

Claims (44)

1. A communication tuning method performed by a computer-implemented system comprising:

receiving information from a user;

providing a serendipity tuning control to the user;

receiving from the serendipity tuning control, responsive to the user's interaction with the serendipity tuning control, a serendipity tuning setting;

applying the serendipity tuning setting to a probabilistic selection algorithm;

selecting, responsive to the received information, a first syntactical element from a plurality of syntactical elements in accordance with the probabilistic selection algorithm;

selecting a second syntactical element from the plurality of syntactical elements in accordance with the first syntactical element and the probabilistic selection algorithm;

generating a communication comprising the first syntactical element and the second syntactical element, wherein the communication comprises a theme that is derived from a vector representation of a content object; and

delivering the communication to the user.

2. The method of claim 1 , further comprising receiving the information from the user, wherein the information comprises the user requesting the system to perform a search.

3. The method of claim 1 , further comprising receiving the information from the user, wherein the information comprises the user requesting the system to provide a communication to the user, wherein the requested communication comprises an explanation comprising explanatory syntactical elements.

4. The method of claim 1 , further comprising receiving from the serendipity tuning control, responsive to the user's interaction with the serendipity tuning control, the serendipity tuning setting, wherein the user's interaction comprises the user expressing a state of mind of the user.

5. The method of claim 1 , further comprising the plurality of syntactical elements, wherein each of the plurality of syntactical elements represents a distinct word and is associated with a distinct probability.

6. The method of claim 1 , further comprising generating the communication, wherein the probabilistic selection algorithm influences the syntax of the communication.

7. The method of claim 1 , further comprising generating the communication, wherein the communication comprises the theme that is derived from the vector representation of the content object, wherein the vector representation of the content object comprises a plurality of weights that are each associated with a distinct word and is generated by applying a statistical learning technique to a plurality of words.

8. A computer-implemented communication tuning system comprising one or more processor-based devices configured to:

receive information from a user;

provide a serendipity tuning control to the user;

receive from the serendipity tuning control, responsive to the user's interaction with the serendipity tuning control, a serendipity tuning setting;

apply the serendipity tuning setting to a probabilistic selection algorithm;

select, responsive to the received information, a first syntactical element from a plurality of syntactical elements in accordance with the probabilistic selection algorithm;

select a second syntactical element from the plurality of syntactical elements in accordance with the first syntactical element and the probabilistic selection algorithm;

generate a communication comprising the first syntactical element and the second syntactical element, wherein the communication comprises a theme that is derived from a vector representation of a content object; and

deliver the communication to the user.

9. The system of claim 8 , further comprising the one or more processor-based devices configured to receive the information from the user, wherein the information comprises the user requesting the system to provide a communication to the user, wherein the requested communication comprises an explanation comprising explanatory syntactical elements.

10. The system of claim 8 , further comprising the one or more processor-based devices configured to receive the serendipity tuning setting, wherein the user's interaction with the serendipity tuning control is associated with performing a search request.

11. The system of claim 8 , further comprising the one or more processor-based devices configured to receive from the serendipity tuning control, responsive to the user's interaction with the serendipity tuning control, the serendipity tuning setting, wherein the user's interaction comprises the user expressing a state of mind of the user.

12. The system of claim 8 , further comprising the one or more processor-based devices configured to select the first syntactical element from the plurality of syntactical elements, wherein each of the plurality of syntactical elements represents a distinct word and is associated with a distinct probability.

13. The system of claim 8 , further comprising the one or more processor-based devices configured to generate the communication, wherein the probabilistic selection algorithm influences the syntax of the communication.

14. The system of claim 8 , further comprising the one or more processor-based devices configured to generate the communication, wherein the communication comprises the theme that is derived from the vector representation of the content object, wherein the vector representation of the content object comprises a plurality of weights that are each associated with a distinct word and is generated by applying a statistical learning technique to a plurality of words.

15. A computer-implemented communication tuning system comprising one or more processor-based devices configured to:

receive information from a user;

provide a serendipity tuning control to the user;

receive from the serendipity tuning control, responsive to the user's interaction with the serendipity tuning control, a serendipity tuning setting;

apply the serendipity tuning setting to a probabilistic selection algorithm, wherein the probabilistic selection algorithm further performs in accordance with an inference of a preference of the user that is based on a plurality of usage behaviors;

select, responsive to the received information, a first syntactical element from a plurality of syntactical elements in accordance with the probabilistic selection algorithm;

select a second syntactical element from the plurality of syntactical elements in accordance with the first syntactical element and the probabilistic selection algorithm;

generate a communication comprising the first syntactical element and the second syntactical element, wherein the communication comprises a theme that is derived from a vector representation of a content object; and

deliver the communication to the user.

16. The system of claim 15 , further comprising the one or more processor-based devices configured to receive the information from the user, wherein the information comprises the user requesting the system to provide a communication to the user, wherein the requested communication comprises an explanation comprising explanatory syntactical elements.

17. The system of claim 15 , further comprising the one or more processor-based devices configured to receive the serendipity tuning setting, wherein the user's interaction with the serendipity tuning control is associated with performing a search request.

18. The system of claim 15 , further comprising the one or more processor-based devices configured to receive from the serendipity tuning control, responsive to the user's interaction with the serendipity tuning control, the serendipity tuning setting, wherein the user's interaction comprises the user expressing a state of mind of the user.

19. The system of claim 15 , further comprising the one or more processor-based devices configured to select the first syntactical element from the plurality of syntactical elements, wherein each of the plurality of syntactical elements represents a distinct word and is associated with a distinct probability.

20. The system of claim 15 , further comprising the one or more processor-based devices configured to generate the communication, wherein the probabilistic selection algorithm influences the syntax of the communication.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 15, 2026
From: MANYWORLDS, INC.
To: MANY WORLDS 2T INNOVATIONS LLC
Reel/Frame 074371/0018 →
Continuity (12)
Continuation 18083082 · Dec 16, 2022
Continuation 16666803 · Oct 29, 2019
Continuation 15249359 · Aug 27, 2016
Continuation 14856654 · Sep 17, 2015
Continuation 14462788 · Aug 19, 2014
Continuation 13555941 · Jul 23, 2012
Continuation In Part 13295414 · Nov 14, 2011
Continuation In Part 13268035 · Oct 7, 2011
Provisional Application 61513920 · Aug 1, 2011
Provisional Application 61496025 · Jun 12, 2011
Provisional Application 61469052 · Mar 29, 2011
Related Publication 20240354606A1 · Oct 24, 2024
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