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Ranking expert responses and finding experts based on rank
Ranking expert responses and finding experts based on rank
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机译：对专家回复进行排名并根据排名查找专家
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摘要
In a computerized social network, expert and user chat sessions are stored and rated probabilistically. Later user requests for information are met with an expert ranking, based on a balance of similarities between expert profile and questions; similarity between expert profile and prior chat sessions, and dynamically updated chat session ratings. New sessions can be rated automatically with reference to keywords distilled from past sessions responsive to user ratings—and based on session length.
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