Machine learning systems and methods for predictive engagement

This invention describes a way to use machine learning to identify people who are likely to be interested in contract, contingent, or gig (CCG) work. It works by first teaching a computer system to recognize the differences between people who currently hold CCG positions and those who don't. Then, it uses this learned knowledge to predict which new candidates might be interested in CCG roles and sends communications to those identified as most likely to be interested.

Why it matters: Filed before the widespread adoption of advanced generative AI. The ability to process complex candidate data and generate highly personalized communications, as described in the claims, has been significantly enhanced by recent developments in large language models.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedMachine learning algorithms, software logic, data processing

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