한국정보과학회논문지:컴퓨팅의 실제 및 레터 (Journal of KIISE:Computing Practices and Letters)

한국정보과학회 (Korean Institute of Information Scientists and Engineers)
권호 표지

주제를 깊이 있게 다루는 블로그 피드 검색을 위한 위키피디아 기반 질의 확장 방법

A Wikipedia-based Query Expansion Method for In-depth Blog Distillation

  • 투고 : 2010.08.10
  • 심사 : 2010.10.07
  • 발행 : 2010.11.15
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초록

본 논문에서는 질의로 주어진 주제를 깊이 있게 다루는 블로그 검색을 위한 위키피디아 기반 질의 확장 방법을 제안한다. 제안된 방법은 질의와 연관된 위키피디아 문서를 질의 확장에 사용한다. 실험을 위해 대규모 블로그 실험 데이터인 TREC Blogs08 collection과 영문 위키피디아 데이터를 사용하였다. 실험 결과 제안된 방법은 기존의 블로그 포스트 기반 질의 확장 방법에 비해 MAP을 비롯한 검색 성능을 콘 폭으로 향상시켰다.

This paper proposes a Wikipedia-based feedback method for in-depth blog distillation whose goal is to find blogs that represent in-depth thoughts or analysis on a given query. The proposed method uses Wikipedia articles which are relevant to the query. TREC Blogs08 collection which is a large-scale blog corpus and English Wikipedia dump were used for experiments, The proposed method significantly increased the retrieval performance including MAP over the conventional post based feedback method.

키워드

참고문헌

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