System and methods for searching objects and providing answers to queries using association data

This invention describes a computer system that can answer questions and find things without needing exact keywords. It works by analyzing natural language queries, like spoken questions, and matching terms from those queries to detailed information about various objects, such as products or people. This information is created by processing unstructured text into organized datasets, allowing the system to suggest relevant objects even if you don't know their names, and then rank those suggestions.

Why it matters: Filed before the widespread adoption of advanced AI and large language models, the core challenge of robust natural language analysis and structuring unstructured data is now significantly more achievable and effective. Modern AI can readily perform the complex data extraction and association tasks central to this invention.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedSoftware logic, natural language processing, data structuring

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