SYSTEM AND METHOD FOR RECOMMENDING PERSONALIZED CAREER PATHS

• US 20100082356A1
• Filed: 09/30/2008
• Published: 04/01/2010
• Est. Priority Date: 09/30/2008
• Status: Abandoned Application

• Current Assignee: Oath Inc. (Verizon Communications Inc.)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Suvarnkar, Anand Vishwanath, Goel, Bhupesh, Verma, Himanshu
• Application Number:
  US12/241,497
• Publication Number:
  US 20100082356A1
• Time in Patent Office: Days
• US Class Current: 705/1.100
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 10/105 Human resources

Abstract

A candidate'"'"'s career information is obtained. The career information comprises one or more of employment history information and education information. If the candidate'"'"'s career information comprises employment history information, the employment history information is compared with stored employment history information of a plurality of individuals. If the candidate'"'"'s career information comprises education information, the education information is compared with stored education information of a plurality of individuals. Stored career information meeting a similarity threshold is identified from one or more of the comparing steps. The similarity threshold relates to similarity between (1) the stored employment history information and the candidate'"'"'s employment history information, and/or (2) the stored education information and the candidate'"'"'s education information. The similarity threshold can also relate to a candidate'"'"'s actions (e.g., apply history). A career path for the candidate is then determined based on the stored career information that has met the similarity threshold.

Claims

1. A method comprising:

obtaining a candidate'"'"'s career information, the career information comprising one or more of employment history information and education information;

if the candidate'"'"'s career information comprises employment history information, comparing the employment history information with stored employment history information of a plurality of individuals;

if the candidate'"'"'s career information comprises education information, comparing the education information with stored education information of a plurality of individuals;

identifying, from one or more of the comparing steps, stored career information meeting a similarity threshold, the similarity threshold relating to similarity between one or more of (1) the stored employment history information and the candidate'"'"'s employment history information and (2) the stored education information and the candidate'"'"'s education information; and

determining, by a computer, a career path for the candidate based on the stored career information that has met the similarity threshold.

2. The method of claim 1, further comprising transmitting a career recommendation to a computer accessible by the candidate, the career recommendation being associated with the career path for the candidate.

3. The method of claim 1, wherein the obtaining a candidate'"'"'s career information further comprises receiving the candidate'"'"'s career information.

4. The method of claim 1, wherein the obtaining a candidate'"'"'s career information further comprises retrieving the candidate'"'"'s career information from a memory.

5. The method of claim 1, further comprising:

automatically extracting the stored employment history information from a plurality of stored resumes;

automatically extracting the stored education information from the plurality of stored resumes; and

building a career graph from the extracted employment history information and extracted education information, wherein the career graph comprises vertices and paths, each vertex in the vertices representing a career phase and each path connecting two vertices.

6. The method of claim 5, further comprising determining the career path for the candidate based on the career graph.

7. The method of claim 2, further comprising receiving a query from the candidate regarding one or more of salary, skills, and title associated with a job.

8. The method of claim 7, wherein the transmitting a career recommendation further comprises transmitting one or more of a salary, skills, organization, and title associated with the career path.

9. The method of claim 6, further comprising determining a similarity between two or more organizations.

10. The method of claim 1, wherein the obtaining a candidate'"'"'s career information further comprises extracting the candidate'"'"'s career information from a resume.

11. The method of claim 5, wherein the building of the career graph further comprises building the career graph using a k-mean clustering algorithm.

12. The method of claim 1, further comprising ranking a plurality of career paths for the candidate.

13. A computer readable medium storing computer program instructions capable of being executed by a computer processor, the computer program instructions defining the steps of:

obtaining a candidate'"'"'s career information, the career information comprising one or more of employment history information and education information;

if the candidate'"'"'s career information comprises employment history information, comparing the employment history information with stored employment history information of a plurality of individuals;

if the candidate'"'"'s career information comprises education information, comparing the education information with stored education information of a plurality of individuals;

identifying, from one or more of the comparing steps, stored career information meeting a similarity threshold, the similarity threshold relating to similarity between one or more of (1) the stored employment history information and the candidate'"'"'s employment history information and (2) the stored education information and the candidate'"'"'s education information; and

determining a career path for the candidate based on the stored career information that has met the similarity threshold.

14. The computer readable medium of claim 13, further comprising computer program instructions defining the step of transmitting a career recommendation to a computer accessible by the candidate, the career recommendation being associated with the career path for the candidate.

15. The computer readable medium of claim 13, wherein the computer program instructions defining the step of obtaining a candidate'"'"'s career information further comprises computer program instructions defining the step of receiving the candidate'"'"'s career information.

16. The computer readable medium of claim 13, wherein the computer program instructions defining the step of obtaining a candidate'"'"'s career information further comprises computer program instructions defining the step of retrieving the candidate'"'"'s career information from a memory.

17. The computer readable medium of claim 13, further comprising computer program instructions defining the steps of:

automatically extracting the stored employment history information from a plurality of stored resumes;

automatically extracting the stored education information from the plurality of stored resumes; and

building a career graph from the extracted employment history information and extracted education information, wherein the career graph comprises vertices and paths, each vertex in the vertices representing a career phase and each path connecting two vertices.

18. The computer readable medium of claim 17, further comprising computer program instructions defining the step of determining the career path for the candidate based on the career graph.

19. The computer readable medium of claim 18, wherein the computer program instructions defining the step of transmitting a career recommendation further comprises computer program instructions defining the step of transmitting one or more of a salary, skills, organization, and title associated with the career path.

20. The computer readable medium of claim 19, further comprising computer program instructions defining the step of determining a similarity between two or more organizations.

21. The computer readable medium of claim 17, wherein the computer program instructions defining the step of building the career graph further comprises computer program instructions defining the step of building the career graph using a k-means clustering algorithm.