Job Matching Profiles Using Feedback and Location Data
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Solution Overview
Problem
Job seekers face tedious and inefficient job search processes due to the need to repeatedly input search criteria, while employers struggle with filtering through numerous applications and may not accurately identify suitable candidates, often relying on recruiters who may not fully understand the required skill sets, leading to time and cost inefficiencies.
Innovation Solution
A server processing system generates and updates user profiles for both job seekers and employers based on interaction feedback, serving relevant job classifieds or profiles through mobile applications, utilizing networking services and location data to optimize future recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If job seekers repeatedly input search criteria to conduct job searches, then search accuracy can be maintained, but time consumption and operational complexity increase significantly
Solution Approach 1:
The system performs preliminary actions by automatically collecting job seeker information from networking services and location data before the search is conducted. Search criteria are pre-configured and stored, eliminating the need for repeated manual input while maintaining search accuracy through automated profile-based matching.
Solution Approach 2:
The system enables self-service by automatically managing search criteria based on the job seeker's profile. The system autonomously retrieves and updates search parameters from stored information, networking services, and location data without requiring the job seeker to manually re-input criteria for each search.
2Measurement precision
If employers filter through numerous applications manually, then candidate selection can be performed, but time consumption and labor requirements increase
Solution Approach 1:
The system implements feedback mechanisms where job seeker interactions with job classifieds (views, applications, selections) are automatically analyzed. This feedback continuously refines the job seeker profile and improves future matching accuracy, reducing the need for manual filtering while maintaining or enhancing candidate selection quality.
Solution Approach 2:
The patent replaces the mechanical manual filtering process with an automated computational system. The server processing system automatically analyzes applications, compares candidate profiles against job requirements, and ranks candidates using algorithms, substituting human manual review with automated mechanical processing that is both faster and more consistent.
3Adaptability or versatility
If recruiters are engaged to identify potential employees, then candidate identification can be performed, but costs increase and skill set understanding may be insufficient
Solution Approach 1:
The system provides universal candidate identification capabilities that replace the specialized function of recruiters. The automated system handles multiple functions including profile creation, job matching, feedback analysis, and candidate ranking within a single platform, making the specialized recruiter function obsolete while improving accuracy through comprehensive data analysis.
Solution Approach 2:
The server processing system acts as an intermediary between job seekers and employers, performing the candidate identification function that previously required human recruiters. This intermediary automatically processes and matches profiles based on skill sets and job requirements, eliminating the information loss that occurs when recruiters may not fully understand required competencies.
4Productivity
If standard search techniques are used to narrow job classifieds, then volume of viewed classifieds is reduced, but career alternatives are limited to similar positions
Solution Approach 1:
The system dynamically adjusts search parameters and profile characteristics based on feedback from job seeker interactions. As the job seeker views and interacts with job classifieds, the system learns from this behavior and adapts the profile to reveal broader career alternatives, transforming the static search into a dynamic exploration that maintains efficiency while expanding opportunities.
Solution Approach 2:
The system changes search parameters automatically based on the job seeker's profile and interaction patterns. Rather than using fixed standard search techniques that limit results to similar positions, the system dynamically modifies search criteria to explore diverse career paths, maintaining productivity while significantly expanding career alternative exploration.
Data Source
AI summary
Disclosed is a method and system for enabling a job seeker to browse a plurality of job classifieds or a job provider to browse a plurality of job seeker profiles. The method includes generating and storing a job seeker profile for the job seeker based upon job seeker information a location of the job seeker; identifying a plurality of job classifieds stored in the data store which are relevant to the job seeker based upon the job seeker profile; serving the plurality of job classifieds to the mobile device for presentation to the job seeker; receiving job seeker feedback data indicative of whether each job classified was relevant or not relevant; analyzing the job seeker feedback data; and updating the job seeker profile stored in the data store in accordance with the analysis of the job seeker feedback data.