Automated Candidate Sourcing System Using Big Data Verification
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Solution Overview
Problem
Traditional employee recruitment methods are inefficient and unreliable, often relying on unverified resumes and manual sorting by in-house recruiters, leading to high costs and long times in sourcing qualified talent, with a significant portion of turnover across industries.
Innovation Solution
A system leveraging big data and machine learning algorithms to aggregate and evaluate candidate information from various online platforms, using search criteria to identify and verify qualified talent based on verifiable skills and relationships, reducing reliance on manual filtering and increasing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional manual sorting and verification methods are used by in-house recruiters, then candidate information can be reviewed, but the process requires significant time and bandwidth, with approximately 65% of costs and time occurring during the sourcing phase
Solution Approach 1:
The patent replaces the mechanical manual sorting and verification process with an automated computer-based system that uses algorithms to search, aggregate, and evaluate candidate information from multiple online sources, thereby eliminating the time and bandwidth constraints of manual recruiter work while maintaining verification accuracy
Solution Approach 2:
The patent introduces an intermediary automated system that acts as a bridge between job postings and candidates, using computer algorithms to perform the intermediate tasks of sourcing, filtering, and verifying candidate information from various online platforms before presenting qualified candidates to recruiters
2Productivity
If traditional recruitment methods rely on unverified resumes and job board postings, then applications can be received, but the results are unverifiable, unreliable, inaccurate, and inconsistent
Solution Approach 1:
The patent replaces unreliable manual resume verification with an automated computer-based system that searches multiple online sources including social media, professional networks, and public databases to aggregate and verify candidate information, thereby improving both efficiency and reliability simultaneously
Solution Approach 2:
The patent creates a universal system that performs multiple functions including sourcing, filtering, verifying, and evaluating candidate information from diverse online sources, replacing the need for separate manual processes and providing consistent, reliable results across all recruitment activities
3Ease of operation
If companies use third party staffing agencies to recruit, then recruitment can be outsourced, but the process becomes more costly and less controlled
Solution Approach 1:
The patent enables companies to perform their own recruitment tasks through an automated self-service system that handles sourcing, filtering, and verification internally, eliminating the need to outsource to expensive third-party agencies while maintaining ease of operation through user-friendly interfaces
4Quantity of substance
If the sourcing phase is extended to search far and wide for talent, then more candidates can be found, but the time required increases to days, weeks, or even longer periods
Solution Approach 1:
The patent implements continuous automated searching and evaluation across multiple online sources simultaneously, allowing the system to process and evaluate large numbers of candidates continuously without the time delays inherent in manual processes, thereby expanding the candidate pool while reducing sourcing duration
Data Source
AI summary
Various systems, methods, and media for sourcing and recruiting candidates into an interview process are provided. At least one search criterion is received via an interface. A search area of a network is determined based on the at least one search criterion. The search area of the network defines a talent pool. Data from at least one location in the search area of the network is searched based on the at least one search criterion. The data from the at least one location in the search area of the network is aggregated and evaluated to identify at least one candidate from the talent pool. Information of the at least one candidate is displayed or transmitted via the interface. The data includes information displayed at the at least one location, with the data being displayed in association with the at least one candidate.


