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This invention describes a system that automatically makes a knowledge base smarter. It does this by looking at past conversations or searches to find questions that weren't answered well, for example, if the answer had low confidence or a negative sentiment. When it finds such a question, it creates a follow-up question asking for more information, then posts this new question to an online forum using a fake identity. The answers it gets from the forum are then collected and added to the knowledge base, making it more complete.
Why it matters: Filed before the widespread adoption of large language models. LLMs can now generate nuanced follow-up questions and manage forum personas with greater sophistication, making the core generation and interaction tasks significantly more feasible and effective.
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