Systems and methods of profiling, matching and optimizing performance of large networks of individuals

This invention describes a computer system that learns about people's preferences and characteristics to find good matches for them with other individuals or objects. It predicts how well those matches will work out, and the claims specify that the method must include observing the actual results of those interactions to improve its future predictions and matching abilities.

Why it matters: Filed before modern machine learning and large language models could effectively profile users, predict complex outcomes, and adapt logic from observed feedback. Today's AI can readily handle the data synthesis, outcome prediction, and continuous learning described in the claims.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedHeavy software system, complex algorithms, data processing.

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