Apparatuses, systems and methods for data entry correlation

• US 8,732,164 B1
• Filed: 04/18/2012
• Issued: 05/20/2014
• 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): Beausoliel, Jr., Robert
• Assistant Examiner(s): ALLEN, NICHOLAS E
• Application Number:
  US13/450,207
• Time in Patent Office: 762 Days
• Field of Search: 707/722
• US Class Current: 707/722
• 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, comprising:

retrieving, via a processor, user profile data;

extracting base data entry metrics from the user profile data;

retrieving user correlation parameters based on the extracted base data entry metrics;

determining a search profile based on the user profile data, the base data entry metrics and the user correlation parameters;

searching job listings with the search profile to determine at least one job listing relevant to the user;

displaying the at least one job listing relevant to the user;

receiving, from the user, feedback about the displayed at least one job listing, said feedback not including information regarding a job listing to which said user is applying;

comparing said user feedback with an aggregated feedback metric to identify distinguishing job listing characteristics;

updating the search profile based on the feedback and the identified distinguishing characteristics;

searching job listings with the updated search profile; and

displaying at least one new job listing based on the feedback and the updated search profile.

2. The method of claim 1 wherein key terms are entered by the user and stored in the user profile data.

3. The method of claim 1, further comprising:

determining user-specific historical information;

updating the search profile for the user based on the historical information;

searching job listings with the updated search profile; and

displaying at least one new job listing based on the historical data and the updated search profile.

4. The method of claim 3, wherein the historical data is comprised of at least one of:

previous search data, job listing views data, job listing response data, job listing application data, saved job listing data, web site viewing data, and web search history data.

5. The method of claim 1, wherein the user profile data comprises information on a web site.

6. The method of claim 1, wherein the user profile data comprises information on a user resume.

7. The method of claim 1, further comprising:

receiving an indication from a user to apply for one of the at least one job listing; and

submitting a user resume to the job listing.

8. The method of claim 7 wherein the user resume is automatically generated based on the user profile data.

9. The method of claim 7 wherein the user resume is uploaded by the user.

10. The method of claim 1, further comprising associating the at least one job listing and the at least one new job listing with the user profile data.

11. A system, 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;

retrieve user profile data;

extract base data entry metrics from the user profile data;

retrieve user correlation parameters based on the extracted base data entry metrics;

determine a search profile based on the user correlation parameters and the base data entry metrics;

search job listings with the search profile to determine at least one job listing relevant to the user;

display the at least one job listing relevant to the user,

receive, from the user, feedback about the displayed at least one job listing, said feedback not including information regarding a job listing to which said user is applying;

compare said user feedback with an aggregated feedback metric to identify distinguishing job listing characteristics;

update the search profile based on the feedback and the identified distinguishing characteristics;

search job listings with the updated search profile; and

display at least one new job listing based on the feedback and the updated search profile.

12. The system of claim 11 wherein key terms are entered by the user and stored in the user profile data.

13. The system of claim 11, further comprising instructions to:

determine user-specific historical information;

update the search profile for the user based on the historical information;

search job listings with the updated search profile; and

display at least one new job listing based on the historical data and the updated search profile.

14. The system of claim 13, wherein the historical data is comprised of at least one of:

previous search data, job listing views data, job listing response data, job listing application data, saved job listing data, web site viewing data, and web search history data.

15. The system of claim 11, wherein the user profile data comprises information on a web site.

16. The system of claim 11, wherein the user profile data comprises information on a user resume.

17. The system of claim 11, further comprising instructions to:

receive an indication from a user to apply for one of the at least one job listing; and

submit a user resume to the job listing.

18. The system of claim 17 wherein the user resume is automatically generated based on the user profile data.

19. The system of claim 17 wherein the user resume is uploaded by the user.

20. The system of claim 11, further comprising instructions to:

receive, from the user, feedback about the displayed at least one job listing;

update the search profile for the user based on the feedback;

search job listings with the updated search profile; and

display at least one new job listing based on the feedback and the updated search profile.

21. The system of claim 11, further comprising instructions to associate the at least one job listing with the user profile data.

22. A processor-implemented method, comprising:

retrieving, via a processor, user profile data;

extracting base data entry metrics from the user profile data;

retrieving user correlation parameters based on the extracted base data entry metrics;

determining a search profile based on the user profile data, the base data entry metrics and the user correlation parameters;

searching job listings with the search profile to determine at least one job listing relevant to the user;

displaying the at least one job listing relevant to the user;

receiving, from the user, feedback about the displayed at least one job listing, said feedback including feedback information in addition to a job listing to which the user is applying;

compare said user feedback with an aggregated feedback metric to identify distinguishing job listing characteristics;

update the search profile based on the feedback and the identified distinguishing characteristics;

searching job listings with the updated search profile; and

displaying at least one new job listing based on the feedback and the updated search profile.

23. The method of claim 22, wherein the feedback information is based on user'"'"'s employment interests including at least user base data entries, correlation parameters, and user feedback ratings.

24. A system, 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;

retrieve user profile data;

extract base data entry metrics from the user profile data;

retrieve user correlation parameters based on the extracted base data entry metrics;

determine a search profile based on the user correlation parameters and the base data entry metrics;

search job listings with the search profile to determine at least one job listing relevant to the user;

display the at least one job listing relevant to the user,

receive, from the user, feedback about the displayed at least one job listing, said feedback including feedback information in addition to a job listing to which the user is applying;

compare said user feedback with an aggregated feedback metric to identify distinguishing job listing characteristics;

update the search profile based on the feedback and the identified distinguishing characteristics;

search job listings with the updated search profile; and

display at least one new job listing based on the feedback and the updated search profile.