Method and system for identifying, tracking, and compensating individuals in job referral chain
Abstract:
A method and system are provided to combine best practices with a new discovery method, incentive structure and tracking system for better results in the referral process, particularly in the domain of employment. Crowdsourcing using a tiered peer-to-peer referral incentive system that encourages higher quality inbound leads combined with data analytics and machine learning techniques of identifying high quality referrers and candidates improve success rates, and leveraging online and offline Social and Professional networks creates a frictionless user experience. Tracking technologies and methods inspired by the online advertising industry across a variety of platforms (desktop/handheld/wearable devices) enable improved crowdsourcing and reward strategies.
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