IP Library Granted Patent US 9,171,262
Granted Patent B2
US 9,171,262 · App. 14/456,153 · Granted Oct 27, 2015

Directed expertise level-based discovery system, method, and device

Inventors: Steven Dennis Flinn (Sugar Land, TX); Naomi Felina Moneypenny (Houston, TX)
Assignee: ManyWorlds, Inc.
G06N5/048G06F17/27H04L67/10
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Quick Facts
Patent No.
US 9,171,262
App. No.
14/456,153
Granted
Oct 27, 2015
Kind
B2
Abstract

A directed expertise level-based discovery system, method, and device infers an expertise level associated with a system user from a plurality of usage behaviors and delivers one or more computer-implemented objects to the user that are selected in accordance with the inferred expertise level and a directionally distinct relationship between computer-implemented objects. The directed expertise level-based discovery system, method, and device may infer the expertise level from textual information and/or in accordance with calibration information such as test results. Geographic location awareness associated with a portable device may inform the selection of the computer-implemented objects to be delivered to the user. An explanation may be delivered to the user that references information that is used to inform the selection of the computer-implemented objects to be delivered to the user.

Claims (53)

1. A computer-implemented method, comprising:

accessing a plurality of computer-implemented directionally distinct relationships among a plurality of computer-implemented objects, wherein the plurality of computer-implemented objects do not represent users of a computer-implemented system;

inferring automatically a first expertise level of a first person who is a first user of a computer-implemented system from one or more usage behaviors;

selecting one or more computer-implemented objects of the plurality of computer-implemented objects, wherein the selecting is performed by a computer-implemented function executed on a processor-based device in accordance with the first expertise level and at least one of the plurality of the computer-implemented directionally distinct relationships; and

delivering the one or more computer-implemented objects to the first person.

2. The method of claim 1 , further comprising:

accessing the plurality of computer-implemented directionally distinct relationships among the plurality of computer-implemented objects in accordance with a first computer-implemented object of the plurality of computer-implemented objects being identified as a context for the accessing.

3. The method of claim 1 , further comprising:

inferring automatically the first expertise level of the first person who is the first user of the computer-implemented system from the one or more usage behaviors, wherein at least one of the one or more usage behaviors is contributing text-based content.

4. The method of claim 3 , further comprising:

inferring automatically the first expertise level of the first person who is the first user of the computer-implemented system from the one or more usage behaviors, wherein at least one of the one or more usage behaviors is contributing text-based content, wherein the inferring is based, at least in part, on an automatic analysis of the text-based content.

5. The method of claim 1 , further comprising:

selecting the one or more computer-implemented objects of the plurality of computer-implemented objects, wherein the selecting is further performed in accordance with expertise level calibration information.

6. The method of claim 5 , further comprising:

selecting the one or more computer-implemented objects of the plurality of computer-implemented objects, wherein the selecting is further performed in accordance with the expertise level calibration information, wherein the expertise calibration information comprises one or more test results.

7. The method of claim 1 , further comprising:

delivering an explanation for the delivery of the one or more computer-implemented objects to the first person, wherein the explanation references the first expertise level.

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

access a plurality of computer-implemented directionally distinct relationships among a plurality of computer-implemented objects, wherein the plurality of computer-implemented objects do not represent users of a computer-implemented system;

infer automatically a first expertise level of a first person who is a first user of a computer-implemented system from one or more usage behaviors;

select one or more computer-implemented objects of the plurality of computer-implemented objects, wherein the selecting is performed in accordance with the first expertise level and at least one of the plurality of the computer-implemented directionally distinct relationships; and

deliver the one or more computer-implemented objects to the first person.

9. The system of claim 8 , further comprising the one or more processor-based devices configured to:

access the plurality of computer-implemented directionally distinct relationships among the plurality of computer-implemented objects in accordance with a first computer-implemented object of the plurality of computer-implemented objects being identified as a context for the access.

10. The system of claim 9 comprising the one or more processor-based devices configured to:

access the plurality of computer-implemented directionally distinct relationships among the plurality of computer-implemented objects in accordance with the first computer-implemented object of the plurality of computer-implemented objects being identified as the context for the access, wherein the identification of the first computer-implemented object as the context is explicitly performed by the first person.

11. The system of claim 8 comprising the one or more processor-based devices configured to:

infer automatically the first expertise level of the first person who is the first user of the computer-implemented system from the one or more usage behaviors, wherein at least one of the one or more usage behaviors is contributing text-based content by the first person.

12. The system of claim 11 comprising the one or more processor-based devices configured to:

infer automatically the first expertise level of the first person who is the first user of the computer-implemented system from the one or more usage behaviors, wherein at least one of the one or more usage behaviors is contributing text-based content by the first person, wherein the inferring is based, at least in part, on an automatic analysis of the text-based content.

13. The system of claim 8 comprising the one or more processor-based devices configured to:

select the one or more computer-implemented objects of the plurality of computer-implemented objects, wherein the selecting is performed in accordance with the first expertise level and at least one of the plurality of the computer-implemented directionally distinct relationships, and wherein the selecting is further performed in accordance with an automatically inferred interest of the first person.

14. The system of claim 8 comprising the one or more processor-based devices configured to:

generate an explanation for the delivery of the one or more computer-implemented objects to the first person, wherein the explanation comprises a reference to at least one of the one or more usage behaviors.

15. The system of claim 8 comprising the one or more processor-based devices configured to:

generate an explanation for the delivery of the one or more computer-implemented objects to the first person, wherein the explanation comprises a reference to the first expertise level.

16. The system of claim 8 comprising the one or more processor-based devices configured to:

generate an explanation for the delivery of the one or more computer-implemented objects to the first person, wherein the explanation comprises a reference to one of the plurality of computer-implemented directionally distinct relationships.

17. A portable processor-based device comprising:

geographic location identification hardware; and

one or more processors configured to:

capture one or more usage behaviors;

deliver the one or more usage behaviors to a computer-implemented function that infers a first expertise level of a first person who is a first user of the portable processor-based device from the one or more usage behaviors;

receive one or more computer-implemented objects that are selected from a plurality of computer-implemented objects that do not represent users of a computer-implemented system and that have associated computer-implemented directionally distinct relationships between pairs of the plurality of computer-implemented objects, wherein the selecting is performed in accordance with the first expertise level, at least one of the computer-implemented directionally distinct relationships, and a first automatically determined geographic location; and

deliver the one or more computer-implemented objects to the first person.

18. The device of claim 17 comprising the one or more processors configured to:

deliver the one or more usage behaviors, wherein at least one of the one or more usage behaviors is an automatically determined geographic location of the portable processor-based device.

19. The device of claim 17 comprising the one or more processors configured to:

receive the one or more computer-implemented objects that are selected from the plurality of computer-implemented objects, wherein at least one of the selected one or more computer-implemented objects comprises a reference to a geographic location.

20. The device of claim 17 comprising the one or more processors configured to:

receive the one or more computer-implemented objects that are selected from the plurality of computer-implemented objects, wherein at least one of the selected one or more computer-implemented objects comprises a reference to a physical object.

21. The device of claim 17 comprising the one or more processors configured to:

deliver an explanation for the delivery of the one or more computer-implemented objects to the first person, wherein the explanation comprises a reference to a second automatically determined geographic location.

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 (7)
Continuation 14093274 · Nov 29, 2013
Continuation 13295414 · Nov 14, 2011
Continuation In Part 13268035 · Oct 7, 2011
Provisional Application 61469052 · Mar 29, 2011
Provisional Application 61496025 · Jun 12, 2011
Provisional Application 61513920 · Aug 1, 2011
Related Publication 20140365421A1 · Dec 11, 2014