Social Job Matching Using Network Relevancy and Preprocessed Data
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Solution Overview
Problem
Existing social networking platforms lack effective mechanisms for connecting individuals and organizations based on their social network data, location, and preferences to facilitate professional relationships and job matching.
Innovation Solution
A social match platform (SMP) that utilizes social network data, location data, and preferences to match individuals and organizations, providing tools for job seekers and recruiters to connect through common contacts and facilitating professional interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If social network data is collected and stored from multiple sources, then the ability to match individuals and organizations is improved, but the complexity of data management and processing increases
Solution Approach 1:
The patent introduces an intermediary processing layer that receives data from multiple social network sources and transforms it into a standardized format. This intermediary system manages the complexity of data integration while preserving the versatility of matching capabilities, allowing the platform to handle diverse data sources without requiring complex custom processing for each source.
2Productivity
If job listings are prioritized based on social network connections, then the effectiveness of job matching is improved, but the time required to process and analyze social data increases
Solution Approach 1:
The patent implements preliminary action by pre-calculating and storing social network connection data, relationship strengths, and relevance scores before actual job matching occurs. This advance preparation allows the system to quickly prioritize job listings based on pre-analyzed social data, significantly reducing the time required during actual matching operations while maintaining high effectiveness.
3Reliability
If the platform integrates multiple data sources including social networks and location data, then the quality of professional connections is improved, but the difficulty of detecting and measuring relevant data increases
Solution Approach 1:
The patent applies parameter changes by transforming diverse data from multiple sources into standardized parameters with defined weightings and relevance criteria. Social network data, location information, and professional profiles are converted into comparable parameters that can be systematically measured and evaluated, making it easier to detect and measure data relevance across different sources while maintaining connection quality.
Data Source
AI summary
The SOCIAL MATCH PLATFORM APPARATUSES, METHODS AND SYSTEMS (“SMP”) transforms platform join requests, social network info, and SMP network info inputs via SMP components NJ, JIP, CIP, OP, CN-SGU and CN-UPSOG into job info, candidate info, offer info, and social meetup info outputs. A job information request for a candidate may be obtained. Social data associated with the candidate may be determined. A social job relevancy rating for various jobs may be calculated using the social data. A job may be selected using the social job relevancy rating for the job, and information regarding the selected job may be provided.