Apparatuses, systems and methods for data entry correlation

• US 8,195,657 B1
• Filed: 12/21/2006
• Issued: 06/05/2012
• Est. Priority Date: 01/09/2006
• Status: Active Grant

• Current Assignee: Monster Worldwide Incorporated (Randstad NV)
• Original Assignee: Monster Worldwide Incorporated (Randstad NV)
• Inventors: Dellovo, David
• Primary Examiner(s): Cottingham, John R.
• Assistant Examiner(s): Allen, Nicholas E
• Application Number:
  US11/614,845
• Time in Patent Office: 1,993 Days
• Field of Search: 707/733
• US Class Current: 707/733
• CPC Class Codes: G06F 16/337 Profile generation, learning or modification
• CPC Class Codes: G06Q 10/1053 Employment or hiring
• CPC Class Codes: H04L 67/306 User profiles

Abstract

This disclosure details the implementation of systems, methods and apparatuses for providing an integrated process tracking and management. The disclosure provides solutions for initiating, tracking, correlating and managing complex processes. In particular, the disclosure provides systems, methods and apparatuses for process tracking and management particularly suited to job listing matching and management. In an implementation, the system may be configured to receive and extract base data entry metrics from a user designated input, for example a user'"'"'s resume or a user designated saved job listing. The base data entry metrics may be correlated with user correlation metrics to derive search parameters for identifying supplemental data entries for a particular user.

Claims

1. A processor implemented method for providing applicants with matching job listings comprising:

receiving an applicant designated base data entry;

processing the base data entry to determine base data aggregated entry metrics;

retrieving matched user aggregated correlation metrics;

accessing by a processor an applicant profile, the applicant profile comprising applicant specific information;

searching job listings, wherein the search parameters are based on the applicant profile, an applicant designated search input, said matched user aggregated correlation metrics, and determined base data aggregated entry mettles;

processing search results corresponding to the search parameters, the applicant profile, said matched user aggregated correlation metrics, and determined base data aggregated entry mettles;

associating the processed search results with the applicant profile; and

outputting the search results.

2. The method of claim 1, further comprising:

receiving a resume for an applicant;

extracting applicant specific information from the resume; and

associating the information with the corresponding applicant profile.

3. The method of claim 1, wherein the applicant profile further comprises job listings saved by the applicant.

4. The method of claim 1, wherein the applicant profile further comprises job listings for which the applicant has applied.

5. The method of claim 3, further comprising:

receiving a rating from an applicant for a saved job listing and associating the rating with the saved job in the applicant profile.

6. The method of claim 3, further comprising:

extracting base data entry correlation data from the saved job listings.

7. The method of claim 1, wherein the applicant profile also includes browsing history metrics associated with an applicant.

8. The method of claim 1, further comprising:

receiving applicant feedback for search results and associating the applicant feedback with the corresponding applicant profile.

9. The method of claim 1, wherein the applicant profile includes applicant feedback on previously viewed job listings.

10. The method of claim 8, wherein the applicant feedback on previously viewed job listings includes applicant feedback for elements of the job listings.

11. The method of claim 1, wherein an applicant profile further comprises a data entry correlation report, a data correlation report comprising:

generating a data entry aggregated correlation report based on user correlation metrics and the determined base data entry metrics.

12. The method of claim 11, wherein the applicant designated base data entry further comprises an element of an applicant'"'"'s profile.

13. The method of claim 11, wherein the user correlation metrics are derived from an applicant'"'"'s profile.

14. A processor implemented method for providing applicants with a score for a job listing comprising:

extracting by a processor base data entry metrics from a designated base data entry;

correlating base data entry metrics with user aggregated correlation metrics to determine user specific search criteria;

conducting a search for data entries that are based on the user specific search criteria;

conducting a search for supplemental data entries that are based on a secondary user specific search criteria;

prioritizing data entries and supplemental data entries;

receiving user feedback for data entries and supplemental data entries;

storing said user feedback;

comparing said user feedback with an aggregated feedback metric; and

refining user specific search criteria with stored user feedback and aggregated feedback metric.

15. The method of claim 14, further comprising:

receiving a resume for an applicant; and

parsing the resume to extract relevant base data entry metrics.

16. The method of claim 14, wherein the user correlation metrics are derived from job listings saved by an applicant.

17. The method of claim 14, wherein the user correlation metrics are derived from job listings for which an applicant has applied.

18. The method of claim 14, wherein the base data entry metrics are extracted from a displayed web listing.

19. The method of claim 16, further comprising:

receiving a rating from the applicant for a base data entry as user feedback; and

conducting another search based on refined search criteria.

20. The method of claim 14, wherein user correlation metrics are derived from a user'"'"'s browsing history.

21. The method of claim 14, further comprising:

receiving applicant feedback for the outputted job listing score and refining the user specific search criteria; and

conducting another search based on the refined user specific search criteria.

22. The method of claim 14, wherein user feedback is individual.

23. The method of claim 14, wherein user feedback metric is individual.

24. A system for providing applicants with matching job listings comprising:

a memory;

a processor disposed in communication with said memory, and configured to issue a plurality of processing instructions stored in the memory, wherein the processor issues instructions to;

receive an applicant designated base data entry;

process the base data entry to determine base data aggregated entry metrics;

retrieve matched user aggregated correlation metrics;

access an applicant profile, the applicant profile comprising applicant specific information;

search job listings, wherein the search parameters are based on the applicant profile, an applicant designated search input, said matched user aggregated correlation metrics, and determined base data aggregated entry metrics;

process search results corresponding to the search parameters, the applicant profile, said matched user aggregated correlation metrics, and determined base data aggregated entry metrics;

associate the processed search results with the applicant profile; and

output the search results.

25. The system of claim 24, wherein the processor further issues instructions to:

receive a resume for an applicant;

extract applicant specific information from the resume; and

associate the information with the corresponding applicant profile.

26. The system of claim 24, wherein the applicant profile further comprises job listings saved by the applicant.

27. The system of claim 24, wherein the applicant profile further comprises job listings for which an applicant has applied.

28. The system of claim 26, wherein the processor further issues instructions to:

receive a rating from an applicant for a saved job listing and associating the rating with the saved job an the applicant profile.

29. The system of claim 26, wherein the processor further issues instructions to:

extract base data entry correlation data from the saved job listings.

30. The system of claim 24, wherein the applicant profile also includes browsing history metrics associated with an applicant.

31. The system of claim 24, wherein the processor further issues instructions to:

receive applicant feedback for search results and associating the applicant feedback with the corresponding applicant profile.

32. The system of claim 24, wherein the applicant profile includes applicant feedback on previously viewed job listings.

33. The system of claim 31, wherein the applicant feedback on previously viewed job listings includes applicant feedback for elements of the job listings.

34. The system of claim 24, wherein an applicant profile further comprises a data entry correlation report, and processor further issues instructions to:

generate a data entry correlation report based on user correlation metrics and the determined base data entry metrics.

35. The system of claim 34, wherein the applicant designated base data entry further comprises an element of an applicant'"'"'s profile.

36. The system of claim 34, wherein the user correlation metrics are derived from an applicant'"'"'s profile.

37. A system for providing applicants with a score for a job listing comprising:

a memory;

a processor disposed in communication with said memory, and configured to issue a plurality of processing instructions stored in the memory, wherein the processor issues instructions to;

extract base data entry metrics from a designated base data entry;

correlate base data entry metrics with user aggregated correlation metrics to determine user specific search criteria;

conduct a search for data entries that are based on the user specific search criteria;

conduct a search for supplemental data entries that are based on a secondary user specific search criteria;

prioritize data entries and supplemental data entries;

receive user feedback for data entries and supplemental data entries;

store said user feedback;

compare said user feedback with an aggregated feedback metric; and

refine user specific search criteria with stored user feedback and aggregated feedback metric;

facilitate a user feedback mechanism to refine the user specific search criteria.

38. The system of claim 37, wherein the processor further issues instructions to:

receive a resume for an applicant; and

parse the resume to extract relevant base data entry metrics.

39. The system of claim 37, wherein the user correlation metrics are derived from job listings saved by an applicant.

40. The system of claim 37, wherein the user correlation metrics are derived from job listings for which an applicant has applied.

41. The system of claim 37, wherein the base data entry metrics are extracted from a displayed web listing.

42. The system of claim 39, wherein the processor further issues instructions to:

receive a rating from an applicant for a base data entry as user feedback; and

conduct another search based on refined user specific search criteria.

43. The system of claim 37, wherein user correlation metrics are derived from a user'"'"'s browsing history.

44. The system of claim 37, wherein the processor further issues instructions to:

receive applicant feedback for the outputted job listing score and refining the user specific search criteria; and

conduct another search based on the refined user specific search criteria.