Method and apparatus for scoring and matching attributes of a seller to project or job profiles of a buyer

• US 20010039508A1
• Filed: 12/18/2000
• Published: 11/08/2001
• Est. Priority Date: 12/16/1999
• Status: Abandoned Application

• Current Assignee: Moser Patterson & Sheridan LLP
• Original Assignee: Moser Patterson & Sheridan LLP
• Inventors: Sylwester, Stephen David, Ahrens, Martin Arthur, Srinivasan, Jayakumar, Guruswamy, Felix, Nagler, Matthew Gordon
• Application Number:
  US09/741,751
• Publication Number:
  US 20010039508A1
• Time in Patent Office: Days
• US Class Current: 705/11
• CPC Class Codes: G06Q 10/063112 Skill-based matching of a person or a group to a task
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

An apparatus and concomitant method to provide objective attributes scoring and matching between the attributes of a seller and the job requirements of a buyer. An objective overall rating for seller is generated that reflects the seller'"'"'s degree of fit with a particular project or job profile of the buyer.

Claims

1. A method for generating an overall rating that reflects the fitness of a set of seller'"'"'s background information as compared to a set of buyer'"'"'s job requirements, said method comprising the steps of:

a) reducing the set of seller'"'"'s background information into a plurality of seller knowledge elements;

b) reducing the set of buyer'"'"'s job requirements into a plurality of buyer knowledge elements;

c) applying one or more weights to at least one common knowledge element that is common between said plurality of seller knowledge elements and said buyer knowledge elements; and

d) generating the overall rating in accordance with said weighted at least one common knowledge element.

2. The method of

claim 1

, wherein said knowledge elements relate to a plurality of skills of the seller.

3. The method of

claim 2

, wherein said applying step c) applies a weight to said at least one common knowledge element in accordance with a knowledge category.

4. The method of

claim 3

, wherein said knowledge category comprises a skill, a role and an industry knowledge.

5. The method of

claim 2

, wherein said applying step c) applies a weight to said at least one common knowledge element in accordance with a buyer'"'"'s interest level.

6. The method of

claim 2

, wherein said applying step c) applies a weight to said at least one common knowledge element in accordance with a buyer'"'"'s desired years of experience.

7. The method of

claim 2

, wherein said applying step c) applies a weight to said at least one common knowledge element in accordance with a buyer'"'"'s desired recency in years of experience.

8. The method of

claim 1

, wherein said knowledge elements relate to an educational background of the seller.

9. The method of

claim 8

, wherein said applying step c) applies a weight to said at least one common knowledge element in accordance with relevance of said educational background of the seller.

10. The method of

claim 8

, wherein said applying step c) applies a weight to said at least one common knowledge element in accordance with a type of educational background component of said educational background of the seller.

11. The method of

claim 10

, wherein said type of educational background component comprises an institution, a degree, a major and a grade point average (GPA).

12. The method of

claim 1

, wherein said knowledge elements relate to a certification of the seller.

13. The method of

claim 12

, wherein said applying step c) applies a weight to said at least one common knowledge element in accordance with a certification rating corresponding to said certification.

14. The method of

claim 12

, wherein said applying step c) applies a weight to said at least one common knowledge element in accordance with a dilution of certification.

15. The method of

claim 12

, wherein said applying step c) applies a weight to said at least one common knowledge element in accordance with a certification level.

16. The method of

claim 12

, wherein said applying step c) applies a weight to said at least one common knowledge element in accordance with a verification of the certification.

17. The method of

claim 12

, wherein said applying step c) applies a weight to said at least one common knowledge element in accordance with a buyer'"'"'s level of interest.

18. The method of

claim 12

, wherein said applying step c) applies a weight to said at least one common knowledge element in accordance with a knowledge category.

19. The method of

claim 18

, wherein said knowledge category comprises a skill, a role and an industry knowledge.

20. The method of

claim 1

, wherein said knowledge elements relate to a work experience background of the seller.

21. The method of

claim 20

, wherein said applying step c) applies a weight to said at least one common knowledge element in accordance with a commitment level.

22. The method of

claim 20

, wherein said applying step c) applies a weight to said at least one common knowledge element in accordance with a relevance level.

23. The method of

claim 20

, wherein said applying step c) applies a weight to said at least one common knowledge element in accordance with an aging level.

24. The method of

claim 1

, wherein said knowledge elements relate to a plurality of skills, an educational background, a certification, and a work experience background of the seller.

25. The method of

claim 1

, further comprising the step of:

e) adjusting said overall rating in accordance with information provided by a third party service provider.

26. The method of

claim 25

, wherein said information provided by said third party service provider comprises verification information pertaining to the seller'"'"'s background information.

27. The method of

claim 25

, wherein said information provided by said third party service provider comprises testing information pertaining to the seller'"'"'s performance on a test.

28. The method of

claim 25

, wherein said information provided by said third party service provider comprises training information pertaining to the seller'"'"'s completion on a training program.

29. The method of

claim 1

, wherein said knowledge elements comprise a skill possessed by the seller, a role held by the seller or an industry knowledge possessed by the seller.

30. The method of

claim 1

, wherein said applying step c) comprises the step of:

c1) assessing near miss knowledge elements.

31. The method of

claim 1

, further comprising the step of:

e) adjusting said overall rating in accordance with a freshness education level.

32. The method of

claim 1

, further comprising the step of:

e) adjusting said overall rating in accordance a penalty measure that correlates to an accruement of missing buyer knowledge elements.

33. An apparatus for generating an overall rating that reflects the fitness of a set of seller'"'"'s background information as compared to a set of buyer'"'"'s job requirements, said apparatus comprising:

means for reducing the set of seller'"'"'s background information into a plurality of seller knowledge elements;

means for reducing the set of buyer'"'"'s job requirements into a plurality of buyer knowledge elements;

means for applying one or more weights to at least one common knowledge element that is common between said plurality of seller knowledge elements and said buyer knowledge elements; and

means generating the overall rating in accordance with said weighted at least one common knowledge element.

34. The apparatus of

claim 33

, wherein said knowledge elements relate to a plurality of skills of the seller.

35. The apparatus of

claim 33

, wherein said knowledge elements relate to an educational background of the seller.

36. The apparatus of

claim 33

, wherein said knowledge elements relate to a certification of the seller.

37. The apparatus of

claim 33

, wherein said knowledge elements relate to a work experience background of the seller.

38. The apparatus of

claim 33

, wherein said knowledge elements relate to a plurality of skills, an educational background, a certification, and a work experience background of the seller.

39. The apparatus of

claim 33

, further comprising a means for adjusting said overall rating in accordance with information provided by a third party service provider.

40. The apparatus of

claim 33

, wherein said knowledge elements comprise a skill possessed by the seller, a role held by the seller or an industry knowledge possessed by the seller.

41. The apparatus of

claim 33

, wherein said applying means further assesses near miss knowledge elements.

42. The apparatus of

claim 33

, further comprising a means for adjusting said overall rating in accordance with a freshness education level.

43. The apparatus of

claim 33

, further comprising a means for adjusting said overall rating in accordance a penalty measure that correlates to an accruement of missing buyer knowledge elements.

44. A computer-readable medium having stored thereon a plurality of instructions, the plurality of instructions including instructions which, when executed by a processor, cause the processor to perform the steps comprising of:

a) reducing the set of seller'"'"'s background information into a plurality of seller knowledge elements;

b) reducing the set of buyer'"'"'s job requirements into a plurality of buyer knowledge elements;

c) applying one or more weights to at least one common knowledge element that is common between said plurality of seller knowledge elements and said buyer knowledge elements; and

d) generating the overall rating in accordance with said weighted at least one common knowledge element.

45. The computer-readable medium of

claim 44

, wherein said knowledge elements relate to a plurality of skills of the seller.

46. The computer-readable medium of

claim 44

, wherein said knowledge elements relate to an educational background of the seller.

47. The computer-readable medium of

claim 44

, wherein said knowledge elements relate to a certification of the seller.

48. The computer-readable medium of

claim 44

, wherein said knowledge elements relate to a work experience background of the seller.

49. The computer-readable medium of

claim 44

, wherein said knowledge elements relate to a plurality of skills, an educational background, a certification, and a work experience background of the seller.

50. The computer-readable medium of

claim 44

, further comprising the step of:

e) adjusting said overall rating in accordance with information provided by a third party service provider.

51. The computer-readable medium of

claim 44

, wherein said knowledge elements comprise a skill possessed by the seller, a role held by the seller or an industry knowledge possessed by the seller.

52. The computer-readable medium of

claim 44

, wherein said applying step c) comprises the step of:

c1) assessing near miss knowledge elements.

53. The computer-readable medium of

claim 44

, further comprising the step of:

e) adjusting said overall rating in accordance with a freshness education level.

54. The computer-readable medium of

claim 44

, further comprising the step of:

e) adjusting said overall rating in accordance a penalty measure that correlates to an accruement of missing buyer knowledge elements.