Resume management and recruitment workflow system and method

• US 10,275,741 B2
• Filed: 09/15/2015
• Issued: 04/30/2019
• Est. Priority Date: 04/18/2003
• Status: Active Grant

• Current Assignee: Jobdiva Incorporated (Axelon Services Corp.)
• Original Assignee: Jobdiva Incorporated (Axelon Services Corp.)
• Inventors: Obeid, Diya
• Primary Examiner(s): Ouellette, Jonathan P
• Application Number:
  US14/855,205
• Publication Number:
  US 20160132833A1
• Time in Patent Office: 1,323 Days
• Field of Search: 705 11-912, 705320, 705321
• CPC Class Codes: G06F 16/24573 using data annotations, e.g. user-defined metadata
• CPC Class Codes: G06F 16/24575 using context
• CPC Class Codes: G06F 16/93 Document management systems
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 40/205 Parsing
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/105 Human resources
• CPC Class Codes: G06Q 10/1053 Employment or hiring
• CPC Class Codes: G06Q 30/08 Auctions

Abstract

A computer system and method for managing access to a resume database. For each skill or experience-related phrase in a resume, the system computes a term of experience based on an experience range associated with a contextual use of the phrase in the resume. The term of experience for a phrase that occurs multiple times in the resume is the summation of the term of experience for each occurrence of the phrase associated with a different contextual use. The system stores each phrase and the term of experience in a parsed resume. The resume database also stores job descriptions that include required phrases and a required term of experience for each required phrase. The job descriptions also store a required level of education or field of specialization, and a required salary range. A recruiter searches the resume database to find matching resumes that satisfy a job description.

Claims

1. A method comprising:

receiving, at a computing device, a plurality of resumes in an electronic format, each received resume comprising portions of electronic data comprising phrases of text related to a skill or experience;

parsing, via the computing device, each received electronic resume and the portions of electronic data comprised therein, and identifying the phrases of text for each skill or experience;

determining, via the computing device, based on said parsing and identification, an experience range for each skill or experience in the received electronic resumes;

computing, via the computing device, a term of experience for each skill or experience based on said determined experience range, said computed term of experience, for each skill or experience included in each received electronic resume, corresponding to an identified duration of said skill or experience;

extracting, via the computing device, data from each resume corresponding to each skill or experience, and generating a parsed resume file for each received resume, said generated resume file, for each resume, comprising said extracted skill or experience data and duration data indicating said term of experience for each skill or experience;

storing, via the computing device, the received electronic resumes and their associated resume files in a resume database associated with said computing device;

receiving, via the computing device, a resume search request from a user comprising a job description, said job description comprising at least one job requirement corresponding to a required skill or experience and a required term of experience;

searching, via the computing device, in response to said resume search request, said resume database, and identifying a parsed resume file and a corresponding electronic resume having a skill or experience corresponding to said job description; and

communicating, via the computing device, said identified electronic resume to a device of said requesting user.

2. The method of claim 1, further comprising:

generating a composite key for each received resume comprising data that indicates a relationship between each skill or experience and its associated term of experience.

3. The method of claim 2, wherein said searching of each resume'"'"'s parsed resume file is further based on said generated composite key.

4. The method of claim 1, wherein said computing the term of experience further comprises:

determining a start time for the experience range;

determining an end time for the experience range;

computing a time difference between the start time and the end time; and

setting the term of experience to the time difference.

5. The method of claim 4, further comprising:

examining a use of each skill or experience in each resume; and

examining a portion of each resume that surrounds each skill or experience for a context, wherein said term of experience determination is based upon said context.

6. The method of claim 5, wherein the portion of each resume that surrounds each skill or experience is at least one of a summary narrative, an experience narrative, and a closing narrative.

7. The method of claim 1, wherein the duration of time is an integer number of a unit of time, and wherein the unit of time includes at least one of seconds, minutes, hours, days, weeks, months, years, and decades.

8. The method of claim 7, wherein said duration of time includes every integer duration of time that is less than or equal to the term of experience associated with the skill or experience.

9. A non-transitory computer-readable storage medium tangibly encoded with computer-executable instructions, that when executed by a processor associated with a computing device, causes the computer to perform a method comprising:

receiving, at the computing device, a plurality of resumes in an electronic format, each received resume comprising portions of electronic data comprising phrases of text related to a skill or experience;

parsing, via the computing device, each received electronic resume and the portions of electronic data comprised therein, and identifying the phrases of text for each skill or experience;

determining, via the computing device, based on said parsing and identification, an experience range for each skill or experience in the received electronic resumes;

computing, via the computing device, a term of experience for each skill or experience based on said determined experience range, said computed term of experience, for each skill or experience included in each received electronic resume, corresponding to an identified duration of said skill or experience;

extracting, via the computing device, data from each resume corresponding to each skill or experience, and generating a parsed resume file for each received resume, said generated resume file, for each resume, comprising said extracted skill or experience data and duration data indicating said term of experience for each skill or experience;

storing, via the computing device, the received electronic resumes and their associated resume files in a resume database associated with said computing device;

receiving, via the computing device, a resume search request from a user comprising a job description, said job description comprising at least one job requirement corresponding to a required skill or experience and a required term of experience;

searching, via the computing device, in response to said resume search request, said resume database, and identifying a parsed resume file and a corresponding electronic resume having a skill or experience corresponding to said job description; and

communicating, via the computing device, said identified electronic resume to a device of said requesting user.

10. The non-transitory computer-readable storage medium of claim 9, further comprising:

generating a composite key for each received resume comprising data that indicates a relationship between each skill or experience and its associated term of experience.

11. The non-transitory computer-readable storage medium of claim 10, wherein said searching of each resume'"'"'s parsed resume file is further based on said generated composite key.

12. The non-transitory computer-readable storage medium of claim 9, wherein said computing the term of experience further comprises:

determining a start time for the experience range;

determining an end time for the experience range;

computing a time difference between the start time and the end time; and

setting the term of experience to the time difference.

13. The non-transitory computer-readable storage medium of claim 12, further comprising:

examining a use of each skill or experience in each resume; and

examining a portion of each resume that surrounds each skill or experience for a context, wherein said term of experience determination is based upon said context.

14. The non-transitory computer-readable storage medium of claim 13, wherein the portion of each resume that surrounds each skill or experience is at least one of a summary narrative, an experience narrative, and a closing narrative.

15. The non-transitory computer-readable storage medium of claim 9, wherein the duration of time is an integer number of a unit of time, and wherein the unit of time includes at least one of seconds, minutes, hours, days, weeks, months, years, and decades.

16. The non-transitory computer-readable storage medium of claim 15, wherein said duration of time includes every integer duration of time that is less than or equal to the term of experience associated with the skill or experience.

17. A computing device comprising:

a processor disposed in communication with a memory device; and

the memory device resident on the computing device tangibly storing thereon program logic for execution by the processor, the program logic comprising;

logic executed by the processor for receiving, at the computing device, a plurality of resumes in an electronic format, each received resume comprising portions of electronic data comprising phrases of text related to a skill or experience;

logic executed by the processor for parsing, via the computing device, each received electronic resume and the portions of electronic data comprised therein, and identifying the phrases of text for each skill or experience;

logic executed by the processor for determining, via the computing device, based on said parsing and identification, an experience range for each skill or experience in the received electronic resumes;

logic executed by the processor for computing, via the computing device, a term of experience for each skill or experience based on said determined experience range, said computed term of experience, for each skill or experience included in each received electronic resume, corresponding to an identified duration of said skill or experience;

logic executed by the processor for extracting, via the computing device, data from each resume corresponding to each skill or experience, and generating a parsed resume file for each received resume, said generated resume file, for each resume, comprising said extracted skill or experience data and duration data indicating said term of experience for each skill or experience;

logic executed by the processor for storing, via the computing device, the received electronic resumes and their associated resume files in a resume database associated with said computing device;

logic executed by the processor for receiving, via the computing device, a resume search request from a user comprising a job description, said job description comprising at least one job requirement corresponding to a required skill or experience and a required term of experience;

logic executed by the processor for searching, via the computing device, in response to said resume search request, said resume database, and identifying a parsed resume file and a corresponding electronic resume having a skill or experience corresponding to said job description; and

logic executed by the processor for communicating, via the computing device, said identified electronic resume to a device of said requesting user.

18. The computing device of claim 17, further comprising:

generating a composite key for each received resume comprising data that indicates a relationship between each skill or experience and its associated term of experience, wherein said searching of each resume'"'"'s parsed resume file is further based on said generated composite key.

19. The computing device of claim 17, wherein said computing the term of experience further comprises:

determining a start time for the experience range;

determining an end time for the experience range;

computing a time difference between the start time and the end time; and

setting the term of experience to the time difference.

20. The computing device of claim 19, further comprising:

examining a use of each skill or experience in each resume; and

examining a portion of each resume that surrounds each skill or experience for a context, wherein said term of experience determination is based upon said context.