Job Matching via Structured Profiles and Verification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current job boards and career social platforms are ineffective in matching job seekers with suitable job postings, leading to wasted time and productivity losses, as they rely on unverified information and unstructured data, resulting in improper candidate-job matching.
Innovation Solution
A computer-implemented method and system that verifies job seekers' profiles through background searches and psychometric tests, and requires both job seekers and employers to use structured data for submissions, ensuring accurate matching based on verified information and cultural fit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If unverified information and unstructured data are used for matching, then the system is easier to operate and submit, but the matching accuracy and reliability deteriorate
Solution Approach 1:
The patent transforms unstructured data into structured data by defining specific parameters and formats for job seeker profiles and job postings. This includes categorizing skills, experiences, and qualifications into standardized fields, which enables precise algorithmic matching while maintaining ease of submission through guided input forms and templates.
Solution Approach 2:
The patent replaces manual verification processes with automated background checks and validation systems. This substitution uses technological mechanisms to verify information accuracy, including automated database cross-referencing, identity verification systems, and algorithmic consistency checks, thereby improving reliability without significantly increasing operational complexity.
2Reliability
If all job seekers are verified through background searches, then the reliability of information improves, but the time and resources required increase
Solution Approach 1:
The patent implements preliminary verification by requiring job seekers to complete background checks and provide verified information before their profiles are made visible on the platform. This upfront verification ensures that only validated profiles are displayed to employers, eliminating the need for time-consuming verification processes during the job matching stage.
Solution Approach 2:
The patent applies a tiered verification approach where essential information undergoes mandatory background verification, while less critical information uses automated validation. This partial verification strategy balances reliability requirements with time constraints by focusing verification resources on the most important matching criteria.
3Measurement precision
If structured data is required for all submissions, then the matching algorithm accuracy improves, but the complexity of the submission process increases
Solution Approach 1:
The patent introduces an intermediary layer in the form of standardized templates and guided input forms that translate user-friendly submissions into structured data formats. These templates act as mediators between the simple user interface and the complex structured data requirements, automatically formatting input information into the precise structure needed for accurate algorithmic matching.
Solution Approach 2:
The patent divides the submission process into segmented, manageable sections focusing on specific skill categories, experience levels, and qualification types. This segmentation allows users to complete submissions in discrete steps rather than overwhelming them with a single complex form, while ensuring all necessary structured data elements are captured for accurate matching.
4Productivity
If only serious users are allowed on the board, then the productivity and quality of matches improve, but the quantity of users and postings decreases
Solution Approach 1:
The patent implements preliminary screening and verification processes that automatically identify and flag serious, qualified users before they can post or search. This upfront filtering ensures that the platform maintains high productivity and match quality by preventing casual or fraudulent users from consuming system resources, while still allowing rapid growth of the qualified user base.
Data Source
AI summary
A computer-implemented method, system and computer program product for matching job seekers to job postings are provided. The computer-implemented method, system and computer program product provide a board in which job seekers and employers may post messages. The messages from the employers may include employer profiles, job postings etc. The employers may use a set of structured words in submitting the messages. The messages from the job seekers include the job seekers' profiles. The job seekers may use the same set of structured words used by the employers to generate and submit their profiles. Accordingly, the computer-implemented method, system and computer program product use the structured words in the job postings and/or employer profile and the job seekers' profiles to match job seekers to job postings.