Method and system for candidate matching

• US 8,321,202 B2
• Filed: 03/26/2012
• Issued: 11/27/2012
• 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:
  US13/430,238
• Publication Number:
  US 20120185251A1
• Time in Patent Office: 246 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, a set of information descriptive of a user;

receiving, by the computing device, narrative information associated with the user; and

validating, by the computing device, at least one item in the set of information based on an analysis of the narrative information.

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

3. The method of claim 1, wherein the set of information comprises biographical information about the user.

4. The method of claim 3, wherein the validating includes determining, using the analysis of the narrative information, whether the biographical information about the user in the set of information is accurate.

5. The method of claim 1, wherein the set of information includes an indicated age of the user, and wherein the validating includes analyzing the narrative information to determine whether the indicated age of the user is accurate.

6. The method of claim 1, wherein the set of information includes an indicated education level of the user, and wherein the validating includes analyzing the narrative information to determine whether the indicated education level of the user is accurate.

7. The method of claim 1, wherein the validating includes determining a deviation between the set of information and the analysis of the narrative information.

8. The method of claim 1, wherein the set of information and the narrative information are received from the user.

9. A non-transitory computer-readable storage medium having instructions stored thereon that, if executed by a computing device, cause the computing device to execute operations comprising:

receiving a set of information associated with an individual;

receiving narrative information associated with the individual; and

determining accuracy of at least one data item in the set of information based on an analysis of the narrative information.

10. The non-transitory computer-readable storage medium of claim 9, wherein the determining includes making a determination of language proficiency of the individual.

11. The non-transitory computer-readable storage medium of claim 9, wherein the determining includes making a determination of an intelligence level of the individual.

12. The non-transitory computer-readable storage medium of claim 9, wherein the narrative information includes audio data, and wherein the determining includes analyzing the audio data in the narrative information.

13. The non-transitory computer-readable storage medium of claim 9, wherein the operations further comprise determining a reliability associated with the determined accuracy of the at least one data item.

14. The non-transitory computer-readable storage medium of claim 9, wherein the operations further comprise storing a profile associated with the individual in an entry in a candidate database, wherein the entry includes information regarding the determined accuracy of the at least one data item.

15. The non-transitory computer-readable storage medium of claim 14, wherein the operations further comprise:

accepting a query for candidates listed in the candidate database; and

evaluating the query using the information regarding the determined accuracy of the at least one data item that is stored in the entry for the individual.

16. A method, comprising:

receiving, by a computer system, self-assessment data for a plurality of users indicating whether each user possesses a quality of interest;

receiving, by the computer system, narrative samples for one or more of the plurality of users;

analyzing, by the computer system, one or more of the narrative samples, wherein the analyzing results in one or more metrics indicative of whether the quality of interest is possessed by a particular user; and

storing, at a location accessible to the computer system, the self-assessment data along with the one or more metrics resulting from the analyzing.

17. The method of claim 16, further comprising:

receiving, by the computer system, a query for those ones of the plurality of users that match a specified list of qualities;

selecting one or more of the plurality of users that best match the specified list of qualities; and

presenting one or more of the selected users in response to the query.

18. The method of claim 17, wherein the specified list of qualities includes a desired education level.

19. The method of claim 16, wherein the quality of interest is a specified personality type.

20. The method of claim 16, wherein one or more of the narrative samples is related to a topic randomly selected by the computer system.

21. A method, comprising:

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

based on an analysis of the narrative information, the computing device assigning a reliability indicator to personal information received from the user.

22. The method of claim 21, wherein the narrative information and the personal information are received from the user.

23. The method of claim 21, further comprising the computing device performing the analysis of the narrative information, wherein the analysis includes determining qualities of text in the narrative information.

24. The method of claim 21, wherein the personal information includes an indicated age of the user, and wherein the analysis includes determining a reliability indicator for the user'"'"'s indicated age.

25. A method, comprising:

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

analyzing, by the computing device, the narrative information to determine a reliability indication for a characteristic of the candidate received from the candidate; and

storing, in a location accessible to the computing device, the reliability indication for the characteristic along with an indicated value for the characteristic.

26. The method of claim 25, wherein the candidate is an individual.

27. The method of claim 26, further comprising receiving, at the computer system, the indicated value for the characteristic, wherein the indicated value is received from the candidate.