Method and system for candidate matching

• US 8,150,680 B2
• Filed: 10/11/2010
• Issued: 04/03/2012
• Est. Priority Date: 06/22/2004
• Status: Active Grant

• Current Assignee: Intellectual Ventures I LLC (Intellectual Ventures LLC)
• Original Assignee: Hoshiko LLC (Raoul Management LLC)
• Inventors: Shuster, Gary Stephen
• Primary Examiner(s): YEN, ERIC L
• Application Number:
  US12/902,061
• Publication Number:
  US 20110029302A1
• Time in Patent Office: 540 Days
• Field of Search: 704/9, 706/45, 706/54
• US Class Current: 704/9
• CPC Class Codes: G06F 16/30 of unstructured textual data document management systems G06F16/93
• CPC Class Codes: G06F 16/3329 Natural language query formulation or dialogue systems
• CPC Class Codes: G06F 16/337 Profile generation, learning or modification
• CPC Class Codes: G06F 16/36 Creation of semantic tools, e.g. ontology or thesauri
• CPC Class Codes: G06Q 10/00 Administration; Management

Abstract

A method and system for candidate matching, such as used in match-making services, assesses narrative responses to measure candidate qualities. A candidate database includes self-assessment data and narrative data. Narrative data concerning a defined topic is analyzed to determine candidate qualities separate from topical information. Candidate qualities thus determined are included in candidate profiles and used to identify desirable candidates.

Claims

1. A method comprising:

receiving, by a computing device, narrative information associated with a user;

receiving, by the computing device, data describing at least one personal quality associated with the user;

analyzing, by the computing device, the narrative information in order to determine one or more probable personal qualities associated with the user; and

determining, by the computing device, quality ratings for respective personal qualities that are described by the received data and are associated with the user, wherein the determining is based on comparisons of the respective personal qualities to corresponding respective probable personal qualities that were determined.

2. The method of claim 1, further comprising:

ranking information describing the user relative to information describing one or more other users based on one or more of the quality ratings.

3. The method of claim 1, wherein a first probable personal quality comprises a probable educational level of the user and a corresponding first personal quality comprises a stated educational level of the user.

4. The method of claim 1, wherein a first probable personal quality comprises a probable personal age of the user and a corresponding first personal quality comprises a stated personal age of the user.

5. The method of claim 1, wherein a first probable personal quality comprises a probable personal gender of the user and a corresponding first personal quality comprises a stated personal gender of the user.

6. The method of claim 1, wherein the narrative information comprises audio data.

7. The method of claim 1 wherein the narrative information comprises textual data that is representative of audio data.

8. A computing system, comprising:

a processor; and

a computer-readable medium storing machine-executable instructions including one or more modules that, if executed by the processor, cause the computing system to;

receive narrative information associated with a user from a first computing device;

receive data describing at least one personal quality associated with the user from a second computing device; and

determine quality ratings for respective personal qualities that are described by the received data and are associated with the user, wherein the determining is based on comparisons of the respective personal qualities to corresponding respective probable personal qualities that are determined based on the narrative information associated with the user.

9. The computing system of claim 8, wherein the one or more modules are further configured for execution by the processor in order to cause the computing system to rank information describing the user relative to information describing one or more other users based on one or more of the quality ratings.

10. The computing system of claim 8, wherein a first probable personal quality comprises a probable educational level of the user and a corresponding first personal quality comprises a stated educational level of the user.

11. The computing system of claim 8, wherein a first probable personal quality comprises a probable personal age of the user and a corresponding first personal quality comprises a stated personal age of the user.

12. The computing system of claim 8, wherein a first probable personal quality comprises a probable personal gender of the user and a corresponding first personal quality comprises a stated personal gender of the user.

13. The computing system of claim 8, wherein the narrative information comprises audio data.

14. The computing system of claim 8, wherein the narrative information comprises textual data that is representative of audio data.

15. A tangible computer-readable medium having instructions stored thereon that, if executed by a computing device, cause the computing device to perform operations comprising:

accessing narrative information associated with a user from a first computing device;

accessing data describing at least one personal quality associated with the user from a second computing device; and

determining quality ratings for respective personal qualities that are described by the accessed data and are associated with the user, wherein the determining is based on comparisons of the respective personal qualities to corresponding respective probable personal qualities that are determined based on the narrative information associated with the user.

16. The tangible computer-readable medium of claim 15, wherein the operations further comprise:

ranking information describing the user relative to information describing one or more other users based on one or more of the quality ratings.

17. The tangible computer-readable medium of claim 15, wherein a first probable personal quality comprises a probable educational level of the user and a corresponding first personal quality comprises a stated educational level of the user.

18. The tangible computer-readable medium of claim 15, wherein a first probable personal quality, comprises a probable personal age of the user and a corresponding first personal quality comprises a stated personal age of the user.

19. The tangible computer-readable medium of claim 15, wherein a first probable personal quality comprises a probable personal gender of the user and a corresponding first personal quality comprises a stated personal gender of the user.

20. The tangible computer-readable medium of claim 15, wherein the narrative information comprises audio data.