Scientific Formula and System using a slider bar which derives standardized data and faster search processes in a Personnel Recruiting System that generates more accurate results

• US 20080221910A1
• Filed: 03/08/2007
• Published: 09/11/2008
• Est. Priority Date: 03/08/2007
• Status: Abandoned Application

• Current Assignee: Anthony Au
• Original Assignee: Anthony Au
• Inventors: Au, Anthony
• Application Number:
  US11/683,987
• Publication Number:
  US 20080221910A1
• Time in Patent Office: Days
• US Class Current: 705/1
• CPC Class Codes: G06Q 10/00 Administration; Management

Abstract

The present invention relates to a data processing system, engrained with value-added methodologies to create a highly structured and automated recruiting system. This system may reduce the time required to select a meaningful shortlist, as well as improving the compatibility of qualifications of candidates towards the requirements of a position. In doing so, the savings may result in reduction of both tangible and intangible costs currently incurred by an employer-company today.

Claims

1. A data processing system for recruiting employees comprising:

a) having a company input data,

a) having a candidate input data;

b) comparing the company'"'"'s data versus the candidate'"'"'s data;

d) assigning a weight to company'"'"'s data;

e) calculating a score based on the weights and comparison of the company'"'"'s data and candidate'"'"'s data; and

f) allowing the weights to be modified to change the results.

2. A system according to claim 1 where said company data consists of a set of goals, responsibilities, personal attributes and winning attributes.

3. A system according to claim 1 where said candidate'"'"'s data consists of a set of achievements, experience/responsibilities, personal attributes and winning attributes.

4. A system according to claim 1 where said weights are modified using a slider bar.

5. A system according to claim 1 where said weights are modified by changing a database.

6. A system according to claim 1 where said model identification step uses artificial intelligent to review said data.

7. A system according to claim 1 where said weights add to 100.

8. A system according to claim 2 where said weight are increased or decreased based on the movement of the slider bar.

9. A system according to claim 1 where said weights can be locked.

10. A system according to claim 1 where said system produces a shortlist of candidates.

11. A system according to claim 10 where a user can accept said shortlist of candidates or modify the weights to produce a new shortlist of candidates.

12. A system according to claim 1 where said company data consists of a set of goals, responsibilities, personal attributes and winning attributes, and where said candidate'"'"'s data consists of a set of achievements, experience/responsibilities, personal attributes and winning attributes.

13. A system according to claim 12 where no more than 3 goals are entered.

14. A system according to claim 12 where no more than 5 responsibilities are entered.

15. A system according to claim 12 where no more than 8 personal qualifications are entered.

16. A system according to claim 12 where no more than 3 achievements are entered.

17. A system according to claim 12 where no more than 8 experience/responsibilities are entered.

18. A system according to claim 12 where no more than 8 personal attributes are entered.

19. A system according to claim 12 where the personal attributes required by a company are compared with the personal attributes profiled by a candidate.

20. A system according to claim 12 where the responsibilities required by a company are compared with experience/responsibilities of a candidate.