Intelligent job matching system and method

• US 8,433,713 B2
• Filed: 05/23/2005
• Issued: 04/30/2013
• Est. Priority Date: 05/23/2005
• Status: Active Grant

• Current Assignee: Monster Worldwide Incorporated (Randstad NV)
• Original Assignee: Monster Worldwide Incorporated (Randstad NV)
• Inventors: Chen, Changsheng, Hyder, Adam, Khanna, Sandeep
• Primary Examiner(s): Pham, Khahn
• Assistant Examiner(s): Ahluwalia, Navneet K
• Application Number:
  US11/136,009
• Publication Number:
  US 20060265267A1
• Time in Patent Office: 2,899 Days
• Field of Search: 707 1- 10, 707100-104, 707/748, 707/749, 705 1- 10
• US Class Current: 707/749
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

A job searching and matching system and method is disclosed that gathers job seeker information in the form of job seeker parameters from one or more job seekers, gathers job information in the form of job parameters from prospective employers and/or recruiters, correlates the information with past job seeker behavior, parameters and behavior from other job seekers, and job parameters and, in response to a job seeker'"'"'s query, provides matching job results based on common parameters between the job seeker and jobs along with suggested alternative jobs based on the co-relationships. In addition, the system correlates employer/recruiter behavior information with past employer/recruiter behavior, parameters and information concerning other job seekers, which are candidates to the employer, and resume parameters, and, in response to a Employer'"'"'s query, provides matching job seeker results based on common parameters between the job seeker resumes and jobs along with suggested alternative job seeker candidates based on the identified co-relationships.

Claims

1. A system comprising:

a memory;

a processor disposed in communication with said memory, and configured to issue a plurality of processor-executable instructions to;

maintain a database comprising data related to a plurality of job seekers and a plurality of jobs;

produce matching results by matching one of the job seekers to a potential job through finding one or more common parameters between job seeker parameters from the one job seeker and one or more job parameters; and

determine a correlation between one of the common parameters and one or more jobs of the plurality of jobs by drawing an inference from the job seeker parameters and the one or more job parameters,

determine alternative jobs to the matching results based on jobs applied for by the plurality of job seekers based on job affinity,

determine preferences of one of the job seekers or recruiter associated with the potential job by automatically inferring individualized information from real-time contents of an event updating web widget instantiated on a web user interface, said preferences contributing to the drawing of the inference from the job seeker parameters and the one or more job parameters, and

wherein a matching score is determined for each of the common parameters between the job seeker and the one or more jobs.

2. The system according to claim 1 wherein the produced matching results are displayed to the job seeker.

3. The system according to claim 2 wherein the the produced matching results are ordered for display based on a correlation value.

4. The system according to claim 1 wherein the produced matching results are displayed to the job seeker ranked according to the matching scores.

5. A method comprising:

building, by a computer, a job seeker profile of job seeker parameters in response to job seeker input;

in response to a job seeker query, producing, by the computer, matching results by matching the job seeker to one or more potential jobs through finding one or more common parameters between job seeker parameters and job description parameters;

determining, by the computer, alternative jobs to the matching results based on an affinity between the one or more potential jobs identified in the matching results and other job seekers interest in the one or more potential jobs;

determining, by the computer, preferences of one of the job seekers or recruiter associated with the potential job by automatically inferring individualized information from real-time contents of an event updating web widget instantiated on a web user interface, said preferences contributing to the drawing of the inference from the job seeker parameters and the one or more job parameters; and

displaying, by the computer, the matching results and the alternative jobs for consideration by the job seeker, the displayed matching results and the alternative jobs based on the drawn inference,

wherein the computer determines a matching score for each of the common parameters between the job seeker and the one or more potential jobs.

6. The method according to claim 5 further comprising determining an affinity relevance value for each alternative job based on a popularity of the alternative job.

7. The method according to claim 6 further comprising ranking the alternative jobs according to the affinity relevance value.

8. A method comprising:

storing, in a memory of a computer, one or more job seeker parameters in response to job seeker input by each of a plurality of job seekers;

storing, in the memory of the computer, job parameters in response to input by an employer/recruiter for each of one or more jobs;

in response to a query from one of the job seekers, finding, by the computer, one or more common parameters between the one job seeker'"'"'s parameters and the stored job parameters to produce matching job results;

correlating, by the computer, one or more matching job parameters in the matching job results with other jobs based on stored other job seeker parameters, the correlating based on an inference drawn from the one or more job seeker parameters and the job parameters;

determining, by the computer, alternative jobs to the matching jobs from the correlation data; and

determining, by the computer, preferences of one of the job seekers or recruiter associated with the potential job by automatically inferring individualized information from real-time contents of an event updating web widget instantiated on a web user interface, said preferences contributing to the drawing of the inference from the job seeker parameters and the one or more job parameters,

wherein the computer determines a matching score for each of the common parameters between the job seeker'"'"'s parameters and the one or more job parameters.

9. The method according to claim 8 further comprising displaying the alternative jobs to the one job seeker.

10. The method according to claim 9 further comprising repeating the storing, finding, correlating and determining operations if the one job seeker applies for one of the displayed alternative jobs.

11. The method according to claim 8 wherein the other job seeker parameters include jobs that the other job seeker applied for.

12. A system comprising:

means for storing, in a memory of a computer, job seeker parameters in response to job seeker input by each of a plurality of job seekers;

means for storing, in a memory of a computer, job parameters in response to input by an employer/recruiter for each of one or more jobs;

means for, in response to a query from one of the job seekers, finding one or more common parameters between the one job seeker'"'"'s parameters and the stored job parameters to produce matching results comprising matching jobs;

means for correlating between one or more matching job parameters and the stored job seeker parameters of one or more of the other job seekers to produce alternative jobs, the means for correlating drawing an inference based on the job seeker parameters and the job parameters;

means for displaying the matching results and the alternative jobs for consideration by the one job seeker; and

means for determining preferences of one of the job seekers or recruiter associated with the potential job by automatically inferring individualized information from real-time contents of an event updating web widget instantiated on a web user interface, said preferences contributing to the drawing of the inference from the job seeker parameters and the one or more job parameters,

wherein the means for finding one or more common parameters further comprises means for determining a matching score for each of the common parameters between the job seeker'"'"'s parameters and the stored job parameters.

13. The system according to claim 12 further comprising means for determining a relevance value of the alternative jobs to the matching jobs.

14. The system according to claim 12 wherein the means for correlating comprises means for determining affinities based on jobs applied for data for each of the plurality of job seekers.

15. A processor-implemented job candidate matching method, comprising:

receiving a job seeker query including job seeker parameters;

automatically capturing real-time contents of an event updating web widget overlaying an Internet browser user interface engaged by the job seeker;

inferring job seeker individualized preference information from the automatically captured real-time contents;

integrating the inferred job seeker individualized preference information into the job seeker parameters;

querying a job database based on the job seeker parameters integrated with the inferred job seeker individualized preference information;

producing a job match result by matching the job seeker parameters to one or more potential jobs stored in the job database;

refining the produced job match result by applying the inferred job seeker individualized preference information; and

presenting the refined produced job match result to the job seeker via the Internet browser user interface.

16. The method of claim 15, wherein the event updating web widget component comprise a stock sticker banner overlaying an Internet browser indicating the job seeker'"'"'s preference in financial industry.

17. The method of claim 15, wherein the event updating web widget component comprises a weather site indicating the job seeker'"'"'s geographical preference.