Intelligent Job Matching System Using Behavioral Correlation
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Solution Overview
Problem
Current job search tools require users to sift through numerous results or return no results if criteria are too specific or narrow, failing to intelligently match job seekers with suitable jobs and employers with appropriate candidates.
Innovation Solution
A system and method that gather job seeker and employer profiles, correlate parameters, and use web crawlers to provide a broad range of job opportunities, incorporating modules like affinity engines, location mapping, and user activity monitoring to suggest accurate matches based on commonalities and past actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional keyword-based searching tools are used to match job seekers with jobs, then the system is simple to operate, but the matching accuracy is low and users must sift through numerous irrelevant results
Solution Approach 1:
The system transforms the matching approach by changing parameters from simple keyword presence to multi-dimensional parameter comparison including skills, experience, education, job preferences, and behavioral data. This enables accurate matching without requiring users to manually filter through irrelevant results
Solution Approach 2:
The patent replaces manual keyword-based mechanical searching with an automated intelligent matching system that uses correlation analysis and affinity engines to automatically identify and rank relevant job matches based on multiple parameters
2Measurement precision
If specific and narrow search criteria are applied, then the matching precision is improved, but the quantity of search results decreases to zero or very few options
Solution Approach 1:
The system dynamically adjusts matching criteria by incorporating user behavior data, preferences, and contextual information to expand or narrow the search results based on individual user needs, maintaining both precision and quantity of results
Solution Approach 2:
The patent segments the matching process into multiple stages: initial broad matching based on key parameters, followed by refined matching using behavioral data and preferences, allowing the system to provide both precise and numerous relevant results
3Quantity of substance
If broad search criteria are used, then the quantity of search results is high, but the matching accuracy deteriorates and users must sift through many irrelevant results
Solution Approach 1:
The system uses feedback from user interactions, preferences, and behavioral data to continuously refine and improve matching accuracy while maintaining a broad set of relevant results, automatically filtering out irrelevant matches
4Ease of operation
If manual review and analysis of job descriptions is required, then the system is easy to understand, but the time and effort required increases significantly
Solution Approach 1:
The system performs automatic matching and filtering of job descriptions based on user parameters and preferences, eliminating the need for manual review while maintaining ease of use through automated presentation of relevant matches
Data Source
AI summary
A job searching and matching system and method is disclosed that gathers job seeker information in the form of job seeker parameters from one or more job seekers, gathers job information in the form of job parameters from prospective employers and/or recruiters, correlates the information with past job seeker behavior, parameters and behavior from other job seekers, and job parameters and, in response to a job seeker's query, provides matching job results based on common parameters between the job seeker and jobs along with suggested alternative jobs based on the co-relationships. In addition, the system correlates employer/recruiter behavior information with past employer/recruiter behavior, parameters and information concerning other job seekers, which are candidates to the employer, and resume parameters, and, in response to a Employer's query, provides matching job seeker results based on common parameters between the job seeker resumes and jobs along with suggested alternative job seeker candidates based on the identified co-relationships.