Query response machine learning technology system

This invention describes a system that uses machine learning to improve how users find answers in a product support system. It trains a computer model on existing support data to learn effective search patterns and generate specific search terms. When a user types a question, the system understands it, converts it into these learned search terms, and then uses them to find the best answers in a knowledge base. The system can also update the relevance of answers based on user feedback, further refining future search results.

Why it matters: Filed before the widespread availability of highly capable large language models (LLMs). These models can now more effectively perform the natural language parsing, pattern determination, and search parameter generation described in the claims.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, machine learning, knowledge base, search engine

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