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Machine learning US 20,250,278,645 A1 Under examination

Autonomous recommendation systems using machine learning

This system helps people find products by learning from their past choices and interactions. It builds a dynamic map of connections between users and products, then uses artificial intelligence to predict what someone might want. The system actively asks interactive questions and uses a conversational agent to understand user preferences, especially for digital products, continuously refining its recommendations based on feedback.

Why it matters: Rapid advancements in large language models since 2025 make the conversational agent and interactive preference gathering significantly more robust, especially for digital products.

Status
Under examinationA pending application. It has not been granted, and it has not been abandoned.
How hard to build
SpecializedMachine learning, knowledge graph, NLP, conversational AI

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