Methods and systems for computerized employment recruiting

• US 8,645,284 B2
• Filed: 02/22/2011
• Issued: 02/04/2014
• Est. Priority Date: 02/22/2011
• Status: Active Grant

• Current Assignee: Intuit, Inc.
• Original Assignee: Intuit, Inc.
• Inventors: Nanda, Vishnu, Mutalik, Anup P., Kakarla, Kashinath, Dutta, Sagar
• Primary Examiner(s): OUELLETTE, JONATHAN P
• Application Number:
  US13/032,243
• Publication Number:
  US 20120215709A1
• Time in Patent Office: 1,078 Days
• Field of Search: None
• US Class Current: 705/321
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G09B 7/02 of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student

Abstract

Methods, systems and articles of manufacture for computerized employment recruiting are provided. The system accesses a candidate database of candidate data for a plurality of candidates and a job posting database. The system compares the qualifications of the candidates to the job criteria for the job postings and determines a match between the qualifications and the job criteria. The system also identifies a inferred links between the candidates and the employer for the job postings to provide an added reliability factor to the referred candidates. The system ranks the matched candidates based, at least in part, using the inferred links and provides the ranked candidates to the employer. The system may use ontology based, and semantic matching based, algorithms for matching candidates to job postings, and also for identifying inferred links between candidates and employers.

Claims

1. A method for computerized employment recruiting, comprising the steps of:

accessing, by a computerized employment recruiting system, a candidate database of candidate data for a plurality of candidates, including a first candidate, said candidate data for each candidate including candidate qualifications and candidate personal information;

accessing, by the computerized employment recruiting system, a job posting database including job posting data for a plurality of job postings, the job posting data for each job posting including employer information and job criteria;

comparing, by said employment recruiting system, said candidate qualifications of said first candidate to said job criteria for a plurality of said job postings;

determining, by said employment recruiting system, a match between said candidate qualifications of said first candidate and job criteria for a first job posting within said plurality of job postings;

identifying, by said employment recruiting system, a softlink between said first candidate and said first job posting by matching candidate information with saved business information regarding the employer of the first job posting using a softlink algorithm;

determining a softlink relevance index for said softlink;

generating, by said employment recruiting system, a ranking of said first candidate among a plurality of candidates for said first job posting based, at least in part, upon said softlink relevance index.

2. The method of claim 1, wherein said step of determining a match between the candidate qualifications of said first candidate and the job criteria for said first job posting within said plurality of job postings utilizes a candidate matching algorithm which includes semantic matching of terms within said candidate qualifications and terms within said first job posting.

3. The method of claim 2, wherein said candidate matching algorithm further uses an ontology based classification of said job posting database.

4. The method of claim 3, wherein said method further comprises the steps of:

assigning a candidate qualification relevancy index to at least one of said candidate qualifications for said first candidate;

determining an overall candidate qualification index for said first candidate based upon said candidate qualification relevancy index; and

wherein said step of generating a ranking of said first candidate among a plurality of candidates is based, at least in part, upon the candidate qualification index for said first candidate.

5. The method of claim 1, wherein said softlink is a proximity based softlink.

6. The method of claim 1, wherein said softlink is a potential personal reference softlink.

7. The method of claim 1, further comprising the step of:

making available to an employer for said first job posting a list of said ranking of the first candidate among a plurality of candidates.

8. The method of claim 7, wherein said list is made available to said employer by transmitting the list of candidates via a cellular phone network to a cellular communication device of said employer.

15. The system of claim 1, wherein said employment recruiting system is further configured to perform the steps of:

making available to an employer for said first job posting a list of said ranking of the first candidate among a plurality of candidates.

16. The system of claim 15, wherein said list is made available to said employer by transmitting the list of candidates via a cellular phone network to a cellular communication device of said employer.

9. A system for computerized employment recruiting, comprising:

an employment recruiting system comprising at least one computer and at least one employment recruiting software program, the employment recruiting system operably coupled to a communication network for providing communication between a data entry device of an employer posting a job posting and said employment recruiting system, the employment recruiting system configured to perform the following steps;

accessing a candidate database of candidate data for a plurality of candidates, including a first candidate, said candidate data for each candidate including candidate qualifications and candidate personal information;

accessing a job posting database including job posting data for a plurality of job postings, the job posting data for each job posting including employer information and job criteria;

comparing said candidate qualifications of said first candidate to said job criteria for a plurality of said job postings;

determining a match between said candidate qualifications of said first candidate and job criteria for a first job posting within said plurality of job postings;

identifying a softlink between said first candidate and said first job posting by matching candidate information with saved business information regarding the employer of the first job posting using a softlink algorithm;

determining a softlink relevance index for said softlink;

generating a ranking of said first candidate among a plurality of candidates for said first job posting based, at least in part, upon said softlink relevance index.

10. The system of claim 9, wherein said employment recruiting software program includes a candidate matching algorithm which includes semantic matching of terms within said candidate qualifications and terms within said first, job posting, and said step of determining a match between the candidate qualifications of said first candidate and the job criteria for said first job posting within said plurality of job postings utilizes said candidate matching algorithm.

11. The system of claim 10, wherein said candidate matching algorithm further uses an ontology based classification of said job posting database.

12. The system of claim 11, wherein said employment recruiting system is further configured to perforin the steps of:

assigning a candidate qualification relevancy index to at least one of said candidate qualifications for said first candidate;

determining an overall candidate qualification index for said first candidate based upon said candidate qualification relevancy index; and

wherein said step of generating a ranking of said first candidate among a plurality of candidates is based, at least in part, upon the candidate qualification index for said first candidate.

13. The system of claim 9, wherein said softlink is a proximity based softlink.

14. The system of claim 9, wherein said softlink is a potential personal reference based softlink.

17. The system of claim 9, wherein said data entry device is a cellular communication device.

18. An article of manufacture comprising a computer program carrier readable by a computer and embodying one or more instructions executable by the computer to perform method steps for employment recruiting, the method steps comprising:

accessing a candidate database of candidate data for a plurality of candidates, including a first candidate, said candidate data for each candidate including candidate qualifications and candidate personal information;

accessing a job posting database including job posting data for a plurality of job postings, the job posting data for each job posting including employer information and job criteria;

comparing said candidate qualifications of said first candidate to said job criteria for a plurality of said job postings;

determining a match between said candidate qualifications of said first candidate and the job criteria for a first job posting within said plurality of job postings;

identifying a softlink between said first candidate and said first job posting by matching candidate information with saved business information regarding the employer of the first job posting using a softlink algorithm;

determining a softlink relevance index for said softlink;

generating a ranking of said first candidate among a plurality of candidates for said first job posting based, at least in part, upon said softlink relevance index.

19. The article of manufacture of claim 18, wherein said instructions executable by the computer includes a candidate matching algorithm which includes semantic matching of terms within said candidate qualifications and terms within said first job posting, and said step of determining a match between the candidate qualifications of said first candidate and the job criteria for said first job posting within said plurality of job postings utilizes said candidate matching algorithm.

20. The article of manufacture of claim 19, wherein said candidate matching algorithm further uses an ontology based classification of said job posting database.

21. A method for computerized employment recruiting, comprising the steps of:

accessing, by a computerized employment recruiting system, a candidate database of candidate data for a plurality of candidates, including a first candidate, said candidate data for each candidate including candidate qualifications and candidate personal information;

accessing, by the computerized employment recruiting system, a job posting database including job posting data for a plurality of job postings, the job posting data for each job posting including employer information and job criteria;

comparing, by said employment recruiting system, said candidate qualifications of said first candidate to said job criteria for a plurality of said job postings;

determining, by said employment recruiting system, a match between said candidate qualifications of said first candidate and job criteria for a first job posting within said plurality of job postings;

identifying, by said employment recruiting system, a softlink between said first candidate and said first job posting, by using a softlink algorithm to identify a person who is a potential personal reference for the candidate for the employer of the first job posting, wherein the potential personal reference has a connection between both the candidate and the employer;

determining a softlink relevance index for said softlink;

generating, by said employment recruiting system, a ranking of said first candidate among a plurality of candidates for said first job posting based, at least in part, upon said softlink relevance index.