Method and system for matching data sets of non-standard formats

• US 8,375,026 B1
• Filed: 10/09/2007
• Issued: 02/12/2013
• Est. Priority Date: 01/13/2006
• Status: Active Grant

• Current Assignee: CareerBuilder LLC (Nexstar Media Group, Inc.)
• Original Assignee: CareerBuilder LLC (Nexstar Media Group, Inc.)
• Inventors: Elliott, Jason, Cranfill, Andrew B.
• Primary Examiner(s): Saeed, Usmaan
• Assistant Examiner(s): Hosseini, Reza
• Application Number:
  US11/869,570
• Time in Patent Office: 1,953 Days
• Field of Search: 707/92, 707/694, 707706-708, 707/723, 707726-737, 707748-756, 707/763, 707/767, 707/769, 707/781, 707/802, 707/602, 707/641, 707/649, 707/722, 707758-760, 707/770, 707/780, 707/791, 707/796, 707809-812, 707999001-99901, 707/999.1, 707999101-999107, 7079992-999206, 704/9, 704/243, 704/247, 704/252, 704/257, 704/7, 704/10, 704/203, 704/209, 704/221, 704/223, 704/237, 704/244, 704/263, 704/276, 704/277, 704/205, 704216-218, 704/2, 704/23, 704/251, 704/E17.007, 704/239
• US Class Current: 707/728
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/334 Query execution G06F16/335 takes precedence
• CPC Class Codes: G06F 16/337 Profile generation, learning or modification
• CPC Class Codes: G06Q 10/063112 Skill-based matching of a person or a group to a task
• CPC Class Codes: G06Q 10/105 Human resources
• CPC Class Codes: G06Q 10/1053 Employment or hiring

Abstract

A system and method is described for receiving a plurality of non-standardized data sets and generating respective plurality of standardized profiles that can be used for efficiently comparing and matching one profile against the other plurality of profiles. One application of this invention is to convert job seekers'"'"' resumes and job postings into respective profiles and then permitting either a job seeker to search for job postings that most closely match the job seeker'"'"'s resume or, conversely, permitting an employer to search for job seekers whose resumes most closely match the employer'"'"'s job posting.

Claims

1. A method of suggesting search criteria to a user at a remote computer, the method comprising the steps of:

housing a plurality of non-standardized data sets on one or more computer readable mediums;

automatically generating a first profile corresponding to a first non-standardized data set from among the plurality of non-standardized data sets, wherein the first profile is comprised of a plurality of attributes, each attribute corresponding to data within the first non-standardized data set;

grouping two or more of the attributes from within the first profile into a first dynamic pod based on the frequency that data corresponding to each of the two or more attributes is found together within the same non-standardized data set from among the plurality of non-standardized data sets;

transmitting a list of the attributes within the first dynamic pod to the remote computer for use as first optional search criteria criteria;

grouping two or more of the attributes from within the first profile into a second dynamic pod based on the frequency that data corresponding to each of the two or more attributes is found together within the same non-standardized data set from among the plurality of non-standardized data sets;

transmitting a list of the attributes within the second dynamic pod to the remote computer for use as a second optional search criteria, wherein the first dynamic pod contains at least one attribute not contained within the second dynamic pod;

receiving to the server a selection from among the group consisting of the first optional search criteria and the second optional search criteria;

using the selection to identify target non-standardized data sets from the plurality of non-standardized data sets, wherein each target non-standardized data set contains data relating to the selection; and

transmitting data to the remote computer identifying at least one identified target non- standardized data set.

2. The method of claim 1, further comprising the step of transmitting data to the remote computer identifying a relatedness of the at least one identified target non-standardized data set to the selection relative to the relatedness of the other target non-standardized data sets to the selection.

3. The method of claim 1, wherein the first non-standardized data set was generated by the user.

4. The method of claim 1, wherein the first non-standardized data set is a resume, and wherein the first optional search criteria comprises a list of related terms from the resume.

5. The method of claim 1, further comprising the step of, adding to the first dynamic pod an attribute that does not exist within the first profile, but that is related to data found in at least some of the non-standardized data sets that contain data relating to each of the two or more attributes already grouped into the first dynamic pod.

6. A method of developing at least a first set of search terms for use by a computer user desiring to perform a targeted search, the method comprising the steps of:

housing a plurality of non-standardized data sets on one or more computer readable mediums;

automatically generating a set of profiles, each profile corresponding to one of the plurality of non-standardized data sets, wherein each generated profile is comprised of a plurality of different attributes, each attribute representing data within the non-standardized data set corresponding to the generated profile;

receiving from a remote computer data for use in identifying a subject profile from among the generated profiles;

grouping two or more attributes from among the plurality of different attributes that comprise the subject profile into a first set of search terms, wherein the two or more attributes to be grouped are selected based upon the frequency that those two or more attributes are all found together within the same profile from among the generated profiles;

transmitting the first set of search terms to the user at a remote computer;

grouping two or more attributes from among the plurality of attributes that comprise the subject profile into a second set of search terms, wherein the two or more attributes to be grouped are selected based upon the frequency that those two or more attributes are all found together within the same profile from among the generated profiles;

transmitting the second set of search terms to the user at the remote computer, wherein the first set of search terms contains at least one search term not contained within the second set of search terms;

receiving a selection from the remote computer identifying one of the first set of search terms or the second set of search terms; and

,

searching the generated profiles to identify a set of target profiles wherein each target profile contains one or more of the attributes contained within the selected set of search terms.

7. The method of claim 6, further comprising the step of, for each generated profile, ranking the attributes within that profile based on one or more of the criteria from the set of criteria comprising:

the first location of the attribute'"'"'s corresponding data within the non-standardized data set from which the profile was generated;

the number of appearances of the attribute'"'"'s corresponding data within the non-standardized data set from which the profile was generated; and

the relatedness of the attribute'"'"'s corresponding data to the data corresponding to the other attributes of the profile.

8. The method of claim 7, further comprising the step Of

selecting target profiles from among the generated profiles based on the ranking, within those target profiles, of the attributes contained within the first set of search terms.

9. The method of claim 6, further comprising the step of adding to the first set of search terms at least one attribute that is not within the subject profile, but that is in at least some of the generated profiles that contains each of the two or more attributes already selected for inclusion within the first set of search terms.