Standardized Profile Generation for Resume Matching
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Solution Overview
Problem
Conventional online recruiting systems are inefficient in matching job seekers' resumes with suitable job postings, requiring time-consuming manual review and evaluation, as they lack the ability to effectively compare and rank non-standardized data sets.
Innovation Solution
A system and method that processes non-standardized data sets by parsing them into standardized profiles, identifying attributes, and ranking them based on metrics such as band position, occurrences, and support values, allowing for efficient comparison and matching of resumes and job postings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual review and evaluation of resumes and job postings is used, then matching accuracy can be maintained, but time consumption and operational effort increase significantly
Solution Approach 1:
The patent creates standardized profile copies of resumes and job postings that capture essential attributes in a uniform format. These standardized profiles serve as simplified representations that enable automated comparison while preserving the key information needed for accurate matching, thus reducing manual review time without sacrificing matching quality
Solution Approach 2:
The system transforms unstructured resume and job posting data into structured profiles with standardized parameters and attributes. By changing the data representation from free-text formats to parameterized structures with defined metrics, the system enables automated algorithms to efficiently compare and rank matches while maintaining accuracy
2Quantity of substance
If keyword searches are used to reduce the number of resumes or job postings, then the total volume decreases, but the ability to find the most suitable match requires individual review of each item
Solution Approach 1:
The system performs preliminary automated ranking of resumes against job postings using standardized profile comparison before human reviewers examine the results. This preliminary action filters and prioritizes candidates based on objective criteria, so that when humans do review resumes, they focus only on the most promising matches rather than examining every single one individually
Solution Approach 2:
The standardized profile acts as an intermediary between the raw resume data and the matching process. By introducing this intermediate representation with standardized attributes and metrics, the system enables automated algorithms to perform initial filtering and ranking, bridging the gap between unstructured data and human decision-making
3Speed
If automated systems are implemented for comparing data sets, then processing speed increases, but the ability to handle non-standardized data formats becomes more difficult
Solution Approach 1:
The patent segments the resume and job posting data into distinct standardized components or attributes (such as skills, experience, education, requirements, qualifications). By dividing the unstructured data into standardized segments with defined formats, the system can process each segment independently using automated algorithms, thereby increasing processing speed while managing complexity through modular design
Data Source
AI summary
A computer-based system and method is described for converting non-standardized resumes and job listings into standardized profiles that can be easily searched, compared and referenced. Attributes are identified within the resumes and job listings, and are evaluated for various features. Each resume or job listing is broken down into its component parts and analyzed based on a logic-based routine to identify and package meaningful content.