Methods and apparatus for enhanced product recommendations

This invention describes a system for recommending products to individuals. It builds a profile for each person using their historical health data collected from a personal device, like a fitness tracker. The system then matches this profile with products that are categorized by their relevance to various physical activities, and further refines suggestions by considering the user's social network activity or their list of friends.

Why it matters: Filed before widespread adoption of advanced AI/ML for personalized recommendations. Today's sophisticated machine learning and large language models can more effectively correlate biometric data, social activity, and product attributes to generate highly tailored suggestions.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, data integration, recommendation algorithms

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