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

• US 8,103,679 B1
• Filed: 08/08/2007
• Issued: 01/24/2012
• 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: Cranfill, Andrew B., Elliott, Jason
• Primary Examiner(s): Robinson, Greta
• Assistant Examiner(s): Weinrich, Brian E
• Application Number:
  US11/835,994
• Time in Patent Office: 1,630 Days
• Field of Search: 707/750, 707/804, 707/947
• US Class Current: 707/750
• 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: Y10S 707/947 Human resources

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 computing system for creating a plurality of profiles from a plurality of non-standardized data sets to compare the plurality of non-standardized data sets comprising:

a database for storing the plurality of non-standardized data sets;

a processor to generate the plurality of profiles, each of the plurality of profiles corresponding to one of the plurality of non-standardized data sets and comprising;

a plurality of attributes identified within each of the plurality of non-standardized data sets by converting the non-standardized data sets into a doubly-linked list of items and tagging at least some of the items using HTML; and

a metric value assigned to each of the plurality of attributes wherein the metric value is indicative of the relative significance of each of the plurality of attributes with respect to the non-standardized data set and wherein the metric value is representative of an education level or job level that is determined by matching a keyword with items in the doubly-linked list;

a network interface to receive from a client computer a target non-standardized data set; and

a program module to rank the plurality of profiles according to how closely each of the plurality of profiles matches the profile corresponding to the target non-standardized data set.

2. The system of claim 1, wherein the metric value assigned to each of the plurality of attributes is indicative of the position within the non-standardized data set from where each of the plurality of attributes were identified.

3. The system of claim 1, wherein the metric value assigned to each of the plurality of attributes is indicative of the number of times each of the plurality of attributes is identified within the non-standardized data set.

4. The system of claim 1, wherein the metric value assigned to each of the plurality of attributes is indicative of the relationship between one of the plurality of attributes and each of the remaining of the plurality of attributes.

5. The system of claim 1, wherein the keyword is selected from the group consisting of high school, bachelor of arts, BA, bachelor of science, BS, registered nurse, RN, master of science, masters degree, master of business administration, medical doctor, MD, or doctor of philosophy, PhD, vice president, vp, manager, or supervisor.

6. The system of claim 1, wherein the metric value is used to refine the ranking of the plurality of attributes.

7. A computerized method for creating a standardized profile from a non-standardized data set comprising a plurality of data elements, the method comprising the steps of:

receiving to a server computer a first non-standardized data set through a network from a client computer;

parsing the first non-standardized data set into a plurality of bands based on the location of the data elements within the first non-standardized data set;

converting the plurality of bands into a doubly-linked list;

identifying a plurality of attributes from the data elements contained within the first non-standardized data set,

assigning to each of the plurality of attributes a metric having a numeric value indicative of the relative significance of the attribute with respect to the first non-standardized data set, wherein the metric is representative of an education level or job level that is determined by matching a keyword with items in the doubly-linked list; and

ranking the attributes according to their assigned metric to create a first standardized profile indicative of the first non-standardized data set.

8. The method of claim 7, further comprising the step of transmitting the first standardized profile to the client computer.

9. The method of claim 8, further comprising the step of receiving from the client computer instructions to increase or decrease the numeric value of the metric associated with one or more attributes within the first standardized profile.

10. The method of claim 7, further comprising the steps of:

comparing the first standardized profile to a plurality of other standardized profiles; and

organizing the standardized profiles into a list according to the numeric value associated with one or more attributes.

11. The method of claim 10, further comprising the step of transmitting the list to a second client computer.

12. The method of claim 7, wherein the bands are defined by the location of dates within the first non-standardized data set.

13. The method of claim 7, further comprising the steps of identifying components of one or more of the plurality of attributes from within the first non-standardized data set and replacing those components with the complete attribute from the plurality of attributes to which the component refers.