지식 검색 시스템에 적용 가능한추천 질의 시스템
Question Recommendation for Knowledge Search System
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참고문헌
키워드
초록
지식 검색 시스템은 사용자의 질의에 대해 다른 질의 응답 문서들을 검색하는 시스템이다. 그러나 우수한 평가를 받은 질의 응답이라 하더라도 사용자가 원하는 것과는 거리가 먼 내용일 수 있다. 이는 사용자가 원하는 내용을 질의로 표현할 때 자신의 질의 의도를 정확하게 표현하지 못하는 등의 이유가 있기 때문이다. 본 논문에서는 검색된 결과에서 사용자가 원하는 내용을 얻지 못한 경우에, 원하는 내용이 있을 가능성이 있는 추가적인 질의 응답들을 추천하여 사용자의 만족도를 높일 수 있는 새로운 형태의 지식 검색 시스템을 제안한다.
Abstract
Knowledge search system is to find the question-answer documents for user question. Even highly qualified question-answer documents could be far different from those that a user want to find. The reason for this failure is that user frequently fails to make user's question to express his/her intension precisely. In this paper, we show our newly developed knowledge search system that recommends additional question-answer documents to include the contents that user want to find with high probability.
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