System and Method For Intelligent Job Hunt

• US 20120215795A1
• Filed: 05/03/2012
• Published: 08/23/2012
• Est. Priority Date: 06/23/2009
• Status: Abandoned Application

• Current Assignee: Upwardly Mobile, Inc.
• Original Assignee: Upwardly Mobile, Inc.
• Inventors: Phelon, Promise, Dasika, Suraj Prakash, Strand, Lisa Ann, Lynn, Sarah A., Chang, Robin Wei-Ting
• Application Number:
  US13/463,513
• Publication Number:
  US 20120215795A1
• Time in Patent Office: Days
• US Class Current: 707/749
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/1053 Employment or hiring
• CPC Class Codes: G06Q 50/10 Services

Abstract

A system, computer readable storage medium, and computer-implemented method performs an intelligent job hunt to determine a sorted set of job openings relevant to a user'"'"'s career goals. An intelligent job hunt engine uses user profile information to query a job openings index for job'"'"'s relevant to the user. Results of the query are filtered and sorted according to their relevance to different career goals. A job readiness evaluator determines readiness scores indicative of the user'"'"'s preparedness for reaching a career goal. Specific action items are generated based on the user'"'"'s interaction with the sorted job openings and the user'"'"'s job readiness scores.

Claims

1. A computer-implemented method for sorting a set of job openings according to their relevance to a user, the method comprising:

receiving, by a computer system, profile information related to a user'"'"'s career;

determining, by the computer system, target job criteria related to the user'"'"'s career based on the profile information, the target job criteria including a first target job criteria and as second target job criteria;

determining, by the computer system, a set of current job openings from a web-based job openings index;

mapping, by the computer system, a job opening from the set of current job openings to a standardized job description from a standardized job description index, the standardized job description obtained from a different source than the job openings index and the standardized job description including at least some information fields relevant to the job opening that is not included in the job opening;

determining, by the computer system, a first matching score between a job opening from the set of current job openings and the first target job criteria;

determining, by the computer system, a second matching score between the job opening and the second target job criteria;

weighting, by the computer system, and combining the first and second matching scores to generate an overall score for the job opening;

sorting, by the computer system, the set of job openings according to their overall scores; and

outputting, by the computer system, the sorted set of job openings and information pertaining to each job opening including at least one information field from the job opening description and at least one information field from the mapped standardized job description that was not present in the job opening.

2. The method of claim 1, wherein determining a set of current job openings comprises:

determining an initial set of job groups for searching, wherein each job group of the initial set represents a set of related job including a job relevant to the profile information; and

querying a job openings index using the initial set of job groups to retrieve the set of current job openings.

3. The method of claim 1, wherein mapping the job opening comprises:

selecting a job opening for matching;

generating a first matching score between a first field of the job opening and a first field of each job description in a comparison set from the standardized job description index; and

mapping the job opening to the job description in the comparison set having a highest matching score.

4. The method of claim 3, further comprising:

reducing the comparison set to include fewer job descriptions; and

generating a second matching score between a second field of the job opening and a second field of each increasingly specific job description in the reduced comparison set.

5. The method of claim 1, wherein determining the set of current job openings further comprises:

applying a preliminary filter to the current set of job openings to eliminate one or more of the current set of job openings.

6. The method of claim 1, wherein determining the first matching score comprises:

applying a pattern matching algorithm to the job opening and the first target job criteria; and

outputting the matching score indicative of a relative strength of a match between a field of the job opening and the first target job criteria.

7. The method of claim 1, further comprising:

presenting a series of job readiness questions to the user;

determining a job readiness score based on answers to the job readiness questions; and

generating a job readiness report based on the answers.

8. The method of claim 1, further comprising:

generating an action item based on at least one of the sorted set of job openings and the profile information known about the user.

9. The method of claim 1, further comprising:

dynamically updating the filtering and sorting of the job openings based on user interactions within the system, including the sorted set of job openings and behavior and responses within the system.

10. A computer readable storage medium for sorting a set of job openings according to their relevance to a user, the computer readable storage medium storing computer-executable program code that when executed cause a processor to perform steps including:

receiving profile information related to the user'"'"'s career;

determining target job criteria related to the user'"'"'s career based on the profile information, the target job criteria including a first target job criteria and a second target job criteria;

determining a set of current job openings from a web-based job openings index;

mapping a job opening from the set of current job openings to a standardized job description from a standardized job description index, the standardized job description obtained from a different source than the job openings index and the standardized job description including at least some information fields relevant to the job opening that is not included in the job opening;

determining a first matching score between a job opening from the set of current job openings and the first target job criteria;

determining a second matching score between the job opening and the second target job criteria;

weighting and combining the first and second matching scores to generate an overall score for the job opening;

sorting the set of job openings according to their overall scores; and

outputting the sorted set of job openings and information pertaining to each job opening including at least one information field from the job opening description and at least one information field from the mapped standardized job description that was not present in the job opening.

11. The computer readable storage medium of claim 10, wherein determining a set of current job openings comprises:

determining an initial set of job groups for searching, wherein each job group of the initial set represents a set of related job including a job relevant to the profile information;

querying a job openings index using the initial set of job groups to retrieve the set of current job openings.

12. The computer readable storage medium of claim 10, wherein mapping the job opening comprises:

selecting a job opening for matching;

generating a first matching score between a first field of the job opening and a first field of each job description in a comparison set from the standardized job description index; and

mapping the job opening to the job description in the comparison set having a highest matching score.

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

reducing the comparison set to include fewer job descriptions; and

generating a second matching score between a second field of the job opening and a second field of each job description in the reduced comparison set.

14. The computer readable storage medium of claim 10, wherein determining the first matching score comprises:

applying a pattern matching algorithm to the job opening and the first target job; and

outputting the matching score indicative of a relative strength of a match between a field of the job opening and a field of the first target job criteria.

15. The computer readable storage medium of claim 10, further comprising:

presenting a series of job readiness questions to the user;

determining a job readiness score based on answers to the job readiness questions; and

generating a job readiness report based on the answers.

16. The computer readable storage medium of claim 10, further comprising:

generating an action item based on at least one of the sorted set of job openings and the profile information known about the user.

17. The computer readable storage medium of claim 10, further comprising:

dynamically updating the filtering and sorting of the job openings based on user interactions with the sorted set of job openings.

18. A computer-implemented method for providing one or more probable job matches to a user, the method comprising:

collecting, by a computer system, a plurality of information about the user;

collecting, by the computer system, a plurality of job openings for matching with the user;

obtaining, by the computer system, a first filter comprising a first plurality of weights associated with a first set of job criteria;

obtaining, by the computer system, a second filter comprising a second plurality of weights associated with a second set of job criteria, the second plurality of weights different than the first plurality of weights and the second set of job criteria different than the first set of job criteria;

applying, by the computer system, the first filter to obtain a first sorted list of the plurality of job openings sorted based on first plurality of weights and the first set of job criteria;

applying, by the computer system, the second filter to obtain a second sorted list of the plurality of job openings sorted based on second plurality of weights and the second set of job criteria; and

outputting for display to a user, the first sorted list of plurality of job openings and the second sorted list of the plurality of job openings.

19. The method of claim 18, wherein the plurality of collected information about the user comprises at least one of employment history, skills, geographic location, people the user knows, activities the user participates in, short-term desires, long-term desires, and impressions of others about the user.

20. The method of claim 18, wherein collecting information about the user comprises at least one of collecting the information directly from the user, collecting the information from a peer group of the user, collecting the information from the user'"'"'s behavior within the expert system, collecting the information from web sources outside of the expert system, and collecting information from profiles on other web sites external from the expert system.