Apparatus and methods for providing career employment services

• US 8,660,871 B2
• Filed: 03/31/2008
• Issued: 02/25/2014
• Est. Priority Date: 03/19/2002
• Status: Expired due to Fees

• Current Assignee: Career Destination Development LLC
• Original Assignee: Career Destination Development LLC
• Inventors: Vianello, Marc
• Primary Examiner(s): Jeanty, Romain
• Application Number:
  US12/059,721
• Publication Number:
  US 20080183488A1
• Time in Patent Office: 2,157 Days
• Field of Search: 705/11, 705/7.11
• US Class Current: 705/7.11
• CPC Class Codes: G06Q 10/063112 Skill-based matching of a person or a group to a task
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 10/1053 Employment or hiring
• CPC Class Codes: G06Q 20/10 specially adapted for electronic funds transfer [EFT] systems; specially adapted for home banking systems
• CPC Class Codes: G06Q 30/0242 Determining effectiveness of advertisements
• CPC Class Codes: G06Q 30/0273 Determination of fees for advertising

Abstract

Systems, methods, distributed networks, and computer-readable media are provided that relate to recruiting and employment services. Background information associated with talent-capability attributes is received from talent. Job description information is received from employers. Prospective matches are identified between employers and talent, and employers and talent are given an opportunity to consent to exchange of talent contact information.

Claims

1. A method of processing information within a computer system regarding at least one candidate from a plurality of talent-contributors, said computer system including a computer processor, said method comprising the steps of:

inputting candidate attributes into said system, said candidate attributes including;

personal information associated with said candidate;

experience information regarding said candidate;

skills descriptions corresponding to skills attributes; and

career information provided as structured occupational data structured according to an occupational classification system;

inputting employer information pertaining to prospective employers into said system, said employer information including job description information relating to at least one job listing and structured according to said occupational classification system; and

processing said career information with said job description information in said computer system by said computer processor to thereby determine matches between said candidate information and said job listing.

2. The method as set forth in claim 1, including said computer system maintaining records of said personal information associated with each candidate.

3. The method as set forth in claim 1, wherein said personal information includes a name, a physical address, an electronic address, and a minimum compensation requirement of said candidate.

4. The method as set forth in claim 3, wherein said physical address is maintained in a consistent format.

5. The method as set forth in claim 3, further comprising identifying a nearest metropolitan area to said physical address, wherein said nearest metropolitan area is further designated as a metropolitan statistical area, a primary metropolitan statistical area, or a consolidated metropolitan statistical area.

6. The method as set forth in claim 1, wherein said candidate attributes include occupational information regarding a current or past employment position.

7. The method as set forth in claim 6, wherein at least one of said candidate attributes includes information selected from structured occupational data operable to be matched with said employer information.

8. The method as set forth in claim 7, wherein said structured occupational data includes at least one occupational title obtained from a listing of occupational titles.

9. The method as set forth in claim 8, wherein said structured occupational data is hierarchical.

10. The method as set forth in claim 6, wherein said attributes further comprise a reason said candidate is no longer employed in said current or past position.

11. The method as set forth in claim 1, wherein said candidate attributes include industry information regarding said current or past position of said candidate, said career information selected from structured industry data operable to be matched with said employer information.

12. The method as set forth in claim 1, wherein said candidate attributes include structured industry data comprising classifications identified in an industry classification system.

13. The method as set forth in claim 12, wherein said classifications relate to at least one current or past position of said candidate.

14. The method as set forth in claim 13, wherein said candidate provides descriptions of accomplishments of said candidate in said current or past position.

15. The method as set forth in claim 12, wherein said structured industry data is hierarchical.

16. The method as set forth in claim 1 further comprising:

storing said personal information about said candidate in a memory; and

providing access to said candidate attributes, said access operable to facilitate generation of reports regarding said plurality of talent-contributors.

17. The method as set forth in claim 16, wherein said personal information further comprises self-identification information including at least one of:

race-information regarding said candidate;

gender-information regarding said candidate;

citizenship-information regarding said candidate; and

lawful eligibility to work in at least one country.

18. The method as set forth in claim 17, further comprising providing said self-identification information to prospective employers to enable said prospective employers to comply with job-applicant-reporting requirements.

19. The method as set forth in claim 1, wherein said candidate provides information regarding compensation received by said candidate with respect to a current or past position.

20. The method as set forth in claim 1, further comprising inputting educational-background information associated with at least one educational institution which said candidate has attended.

21. The method as set forth in claim 20, wherein said educational information further comprises a name of said educational institution, a level of education expected or attained, and at least one field of study.

22. The method as set forth in claim 21, wherein said level of education and said field of study are selected from a list structured to be matched with said employer information.

23. The method as set forth in claim 20, wherein said educational institution is selected from a list structured to be matched with said employer information.

24. The method as set forth in claim 1, further comprising receiving affiliation information corresponding to affiliations of said candidate, said affiliations including membership in at least one organization in a plurality of occupation-oriented organizations including professional associations, trade associations, and labor unions.

25. The method as set forth in claim 24, wherein said occupation-oriented organizations are selected from a list structured to be matched with affiliate information for the purpose of paying compensation to said affiliate.

26. The method as set forth in claim 1, wherein said candidate attributes includes a designation of at least one preferred employer.

27. The method as set forth in claim 1, further comprising said computer system suggesting at least one job listing to said candidate based on said candidate attributes.

28. The method as set forth in claim 1, wherein said skills descriptions relate to language skills, analytical skills, people and communication skills, and mechanical skills of said candidate.

29. The method as set forth in claim 28, wherein said language skills include reading, writing, and speaking skills.

30. The method as set forth in claim 29, including an assessment of proficiency in said reading, writing, and speaking skills.

31. The method as set forth in claim 28, wherein said analytical skills, people and communication skills, and mechanical skills correspond to said skills attributes described in a listing of occupational titles.

32. The method as set forth in claim 31, wherein skills associated with said skills descriptions correspond to a skills coding system of said listing of occupational titles.

33. The method as set forth in claim 28, wherein said language skills are selected from a list structured to be matched with said employer information.

34. The method as set forth in claim 28, wherein said computer system suggesting said analytical skills, people and communications skills, and mechanical skills to said candidate from a list.

35. The method as set forth in claim 1, further comprising inputting an identification of licenses and certifications held by said candidate.

36. The method as set forth in claim 1, further comprising inputting a description of professional and personal accomplishments of said candidate.

37. The method as set forth in claim 1 wherein said structured occupational data further comprises a reason said candidate is no longer employed in a current or past position.

38. A method as set forth in claim 1 wherein said occupational classification system is a government maintained occupational classification system.

39. A method as set forth in claim 1, wherein said candidate provides information regarding a minimum compensation amount said candidate expects to receive pursuant to a job listing.

40. The method as set forth in claim 39 wherein said minimum compensation amount is confidential.

41. A method of processing information within a computer system regarding at least one job description of an employer having employer profile information associated therewith, said computer system including a computer processor, said job description having job parameters corresponding to a set of attributes of a desired candidate, said method comprising the steps of:

inputting job description information corresponding to a job listing with said employer into said computer system, said job description information being structured according to an occupational classification system;

inputting a plurality of sets of candidate attributes into said system, each set of candidate attributes corresponding to a prospective candidate, said candidate attributes including a structured set of desired skills attributes structured in a manner corresponding to said occupational classification system; and

processing said job description information with said sets of candidate attributes in said computer system by said computer processor to determine matches between said job listing and at least one prospective candidate.

42. The method as set forth in claim 41, wherein said employer profile information includes employer name, phone number, physical address, billing information, and administrative user information.

43. The method as set forth in claim 41, wherein said job description information further comprises at least one of

a maximum compensation said employer has allocated for a job listing;

a number of total employment positions associated with said job description; and

a number of open employment positions associated with said number of total employment positions.

44. The method as set forth in claim 41, wherein said employer profile information includes structured industry data operable to be matched with career information pertaining to prospective employees.

45. The method as set forth in claim 44, wherein said structured industry data includes classifications identified in the North American Industry Classification System.

46. The method as set forth in claim 44, wherein said structured industry data is hierarchical.

47. The method as set forth in claim 41, wherein said job description information further comprises:

a Federal Employment Records Information requirement indication regarding whether said job description is associated with an employment position for which self-identification information should be maintained.

48. The method as set forth in claim 41, wherein said job description further comprises a regulated job requirement indication regarding whether said job description is associated with an employment position for which said candidate attributes are subject to government regulation.

49. The method as set forth in claim 48, wherein said government regulation includes a restriction pertaining to citizenship.

50. The method as set forth in claim 41, wherein said job description information further comprises a narrative description of functions to be performed in a job associated with said job description.

51. The method as set forth in claim 41, wherein said job description information further comprises benefit descriptions and compensation figures offered by said employer in connection with a job associated with said job description, wherein said compensation figures include a maximum compensation amount.

52. The method as set forth in claim 51, wherein said maximum compensation amount is confidential.

53. A method as set forth in claim 41 wherein said job description information further comprises a maximum compensation said employer has allocated for a job.

54. The method as set forth in claim 41, wherein said occupational classification system is hierarchical.

55. A method of processing information executed by a computer processor regarding at least one candidate from a plurality of talent-contributors and an employer from a plurality of employers, said method comprising the steps of:

providing a database in electronic communication with the computer processor for the retrievable storage of a plurality of structured data selected from at least one of an industry classification system and an occupational classification system;

storing an employment history regarding said candidate within said database;

classifying said employment history according to said structured data by said computer processor;

inputting into said database employer information pertaining to a prospective job listing classified in accordance with said structured data; and

selecting said candidate or said job listing by processing said employment history and said employer information by means of said computer processor.

56. A method as set forth in claim 55 wherein said industry classification system is a government maintained industry classification system.

57. A method as set forth in claim 55 wherein said occupational classification is a government maintained occupational classification system.

58. A method as set forth in claim 55, wherein said industry classification system is hierarchical.

59. A method as set forth in claim 55, wherein said occupational classification system is hierarchical.