Job Matching System Using Priority-Based Scoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current profile matching services for job seekers and job providers are inflexible and lack efficient parameters for matching, leading to unsatisfactory job matches due to limited keyword-based matching algorithms, resulting in shortlisted candidates not meeting expectations.
Innovation Solution
A method and system that determine job seeker and job provider scores based on attribute values and priority comparisons, using a processor to compute match scores through a Max Diff approach, allowing for customizable profiles and enhanced matching parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If keyword-based matching algorithms are used for profile matching, then the matching process is simple and fast, but the matching accuracy and satisfaction are insufficient
Solution Approach 1:
The patent transforms the matching algorithm from simple keyword-based comparison to a multi-parameter scoring system that evaluates multiple attributes (skills, experience, education, preferences) with different weights. This changes the fundamental parameters of the matching process, using weighted sums and compatibility scores to achieve higher accuracy while managing complexity through structured parameter organization.
Solution Approach 2:
The matching system is segmented into distinct components: profile attribute extraction, parameter weighting, scoring calculation, and compatibility evaluation. Each aspect of the matching process is divided into independent modules that can be processed separately and combined, allowing complex multi-factor matching to be managed through systematic segmentation of the evaluation criteria.
2Reliability
If limited parameters are considered for profile matching, then the matching process is quick and efficient, but the shortlisted candidates do not meet job provider expectations
Solution Approach 1:
The system performs preliminary actions by pre-defining attribute categories, weightings, and scoring criteria before the actual matching process. Profiles are preprocessed to extract and standardize attributes, and the matching algorithm is pre-configured with relevance weights. This preliminary setup enables rapid high-quality matching without requiring complex real-time computations during the actual matching phase.
Solution Approach 2:
The patent introduces multiple parameters beyond basic keywords, including skill match percentages, experience compatibility scores, education alignment, and preference compatibility. These additional parameters are systematically integrated into a composite scoring model that evaluates candidate quality comprehensively while maintaining processing efficiency through structured parameter management.
3Adaptability or versatility
If customizable profile options are provided for job seekers and job providers, then profile flexibility and matching precision improve, but system complexity and configuration requirements increase
Solution Approach 1:
The profile matching system is designed to be dynamic, allowing users to customize which attributes are included in their profiles and adjust the importance weights of different parameters. The system adapts to individual user preferences by enabling selective attribute inclusion and flexible weighting schemes, while maintaining manageable complexity through a modular architecture where customization options are added incrementally rather than requiring complete system reconfiguration.
Data Source
AI summary
Disclosed is a method of matching job seekers with job providers. The method may include receiving a plurality of job seeker values and a plurality of job provider values corresponding to at least one attribute. The method may further include receiving a job seeker priority associated with a job seeker value. Furthermore, the method may include receiving a job provider priority associated with a job provider value. Subsequently, matching between job seekers and job providers may be performed based on comparison between job seeker values and job provider values. Additionally, the matching may be based on a comparison of job provider priority and job seeker priority.