Contextually Transformed Learning Layer

• US 20120254074A1
• Filed: 10/07/2011
• Published: 10/04/2012
• Est. Priority Date: 03/29/2011
• Status: Active Grant

• Current Assignee: Manyworlds Incorporated
• Original Assignee: Manyworlds Incorporated
• Inventors: Flinn, Steven Dennis, Moneypenny, Naomi Felina
• Granted Patent: US 8,719,213 B2
• Time in Patent Office: Days
• US Class Current: 706/4
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 40/56 Natural language generation
• CPC Class Codes: G06K 7/10366 the interrogation device being adapted for miscellaneous applications
• CPC Class Codes: G06K 7/10475 arrangements to facilitate interaction with further interrogation devices, e.g. such that at least two interrogation devices may function and cooperate in a network of such devices
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• CPC Class Codes: G06N 5/048 Fuzzy inferencing
• CPC Class Codes: G06N 7/02 using fuzzy logic computing arrangements based on biological models G06N3/00; computing arrangements using knowledge-based models G06N5/00
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

A computer-implemented transformational protocol is applied to contextually transform an originating computer-implemented structure into a fuzzy network-based structure. The originating structure may be a hierarchy, for example. The fuzzy network-based structure is adaptively modified based on behavioral information, and recommendations delivered to users may be generated in accordance with the fuzzy network-based structure and inferences from a plurality of usage behaviors. The recommendations may be generated in accordance with a network neighborhood within the fuzzy network-based structure that is based, at least in part, on a navigational context within the originating structure.

Claims

1. A computer-implemented method, comprising:

invoking a transformational protocol executed on a processor-based computing device, wherein the transformational protocol is applied to transform a computer-implemented non-fuzzy network-based structure into a computer-implemented fuzzy network-based structure; and

invoking a fuzzy network modification function, wherein the fuzzy network modification function modifies the fuzzy network-based structure in accordance with an inference generated from a plurality of usage behaviors.

2. The method of claim 1, further comprising:

invoking the transformational protocol, wherein the transformational protocol is applied to transform a hierarchical-based structure into a fuzzy network-based structure.

3. The method of claim 1, further comprising:

invoking the transformational protocol, wherein the transformational protocol is applied to transform a view-based structure into a fuzzy network-based structure.

4. The method of claim 1, further comprising:

receiving a recommendation that is generated in accordance with the fuzzy network-based structure and an inference from a plurality of usage behaviors.

5. The method of claim 4, further comprising:

receiving the recommendation, wherein the recommendation is of a person with an inferred level of expertise.

6. The method of claim 1, further comprising:

receiving a recommendation generated in accordance with a recommendation preference setting established by the recommendation recipient.

7. The method of claim 1, further comprising:

viewing a computer-generated visualization of the fuzzy network-based structure.

8. A computer-implemented system, comprising:

a transforming function executed on a processor-based computing device that applies a transformational protocol to transform a non-fuzzy network-based structure into a computer-implemented fuzzy network-based structure; and

a modification function that modifies the fuzzy network-based structure in accordance with an inference from a plurality of usage behaviors.

9. The system of claim 8, further comprising:

the transforming function, wherein the transforming function transforms a hierarchical-based structure into the fuzzy network-based structure.

10. The system of claim 8, further comprising:

the transforming function, wherein the transforming function transforms a view-based structure into the fuzzy network-based structure.

11. The system of claim 8, further comprising:

a recommendation function that generates a recommendation in accordance with the fuzzy network-based structure and an inference from a plurality of usage behaviors.

12. The system of claim 11, further comprising:

an expertise discovery function that generates the recommendation in accordance with an inferred level of expertise.

13. The system of claim 8, further comprising:

a recommendation preference function that applies a recommendation preference setting established by a user.

14. The system of claim 8, further comprising:

a fuzzy network visualization function that displays a representation of the fuzzy network to a user.

15. A computer-implemented system, comprising:

a transforming function executed on a processor-based computing device that applies a transformational protocol to transform a non-fuzzy network-based originating structure into a computer-implemented fuzzy network-based structure, wherein the fuzzy network-based structure comprises a plurality of objects and affinities among the objects; and

a computer-implemented recommendation function that generates a recommendation for delivery to a first user in accordance with a plurality of the affinities and an inference from a plurality of usage behaviors.

16. The system of claim 15, further comprising:

the recommendation function, wherein the recommendation function delivers to the first user the recommendation in accordance with a navigational context of the first user within the originating structure.

17. The system of claim 15, further comprising:

the recommendation function, wherein the recommendation function delivers to the first user the recommendation in accordance with an inference of expertise associated with a second user.

18. The system of claim 17, further comprising:

an explanation function that delivers an explanation to the first user as to why the recommendation was delivered to the first user.

19. The system of claim 15, further comprising:

the recommendation function, wherein the recommendation function delivers to the first user the recommendation in accordance with a navigational neighborhood associated with the fuzzy network-based structure, wherein the navigational neighborhood is based, at least in part, on a user navigational context within the originating structure.

20. The system of claim 19 further comprising:

a navigational neighborhood scoping function that adjusts the scope of the navigational neighborhood in accordance with a navigational scope established by a user.