Clique-Based Social Graphing for Targeted Job Dissemination
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Solution Overview
Problem
Traditional job posting services fail to effectively disseminate job listings to relevant candidates, leading to a small audience reach and lack of targeting capabilities, and do not allow employers to restrict job postings from flowing to their own workforce, making it difficult to find suitable employees.
Innovation Solution
A system that allows employers to create multiple networks and offer referral rewards, enabling job postings to be disseminated based on degree of separation and user ratings, while preventing cannibalization of the employer's workforce by restricting job postings to specific, relevant users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If job postings are disseminated to all users within a certain degree of separation, then the reach of job postings is increased, but the relevance and quality of candidates decreases
Solution Approach 1:
The patent segments the user network into multiple talent networks based on different relationships (e.g., friends, colleagues, acquaintances). Each talent network is assigned a different degree of separation weight, allowing the system to prioritize candidates from more relevant networks while still expanding reach to broader networks, thus resolving the contradiction between reach and relevance
Solution Approach 2:
The patent applies local quality by assigning different weights to different talent networks based on their relevance to the job posting. Candidates from talent networks with higher relevance weights (e.g., close colleagues) are prioritized over those from less relevant networks (e.g., distant acquaintances), enabling targeted dissemination that maintains both reach and candidate quality
2Productivity
If job postings are disseminated through the employer's network, then the dissemination efficiency is improved, but the employer's own workforce may be cannibalized
Solution Approach 1:
The patent extracts the employer's talent network from the general dissemination path by providing an option to exclude it. This allows job postings to be disseminated through other talent networks (friends, acquaintances) without flowing back to the employer's own employees, thereby maintaining dissemination efficiency while preventing workforce cannibalization
Solution Approach 2:
The patent introduces an intermediary mechanism where the system acts as a mediator between the employer and potential candidates. The employer can specify which talent networks should be used for dissemination, and the system routes postings through appropriate intermediaries while blocking direct exposure to the employer's own workforce
3Device complexity
If each user is limited to one network, then the system complexity is reduced, but the ability to target job postings to specific contact types is lost
Solution Approach 1:
The patent segments each user's contacts into multiple talent networks (e.g., friends, colleagues, acquaintances) rather than allowing a single undifferentiated network. This segmentation enables targeted job posting dissemination to specific contact types while maintaining manageable complexity through standardized network structures and automated classification
4Measurement precision
If job postings are restricted to specific talent networks, then the targeting precision is improved, but the overall reach is reduced
Solution Approach 1:
The patent implements dynamic targeting by allowing employers to adjust which talent networks are activated for dissemination and to set different degree of separation limits for each network. The system can dynamically expand or contract the reach based on the employer's preferences, balancing targeting precision with overall reach through flexible, adaptable parameters
Data Source
AI summary
A method, system, and storage device for clique based social networking and social graphing allowing users to create one or more networks each containing one or more connections, create postings or other information that trickles down to other users according to a set of rules wherein certain connections must be present to be in-network to a primary user.