Journal of KIISE:Databases (한국정보과학회논문지:데이타베이스)

Korean Institute of Information Scientists and Engineers (한국정보과학회)
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Personalized Search based on Community through Automatic Analysis of Query Patterns

질의어 패턴 자동분석을 통한 커뮤니티 기반 개인화 검색

  • 박건우 (국방대학교 국방관리대학원 전산정보학과) ;
  • 이상훈 (국방대학교 국방관리대학원 전산정보학과)
  • Published : 2009.08.15
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Abstract

Since the existing Web search engines don't sufficiently reflect user's search intent, it is very difficult to find out accurate information that users want to find. Therefore, a lot of researches, study for personalized search, to enhance satisfaction of Web search results by analyzing search pattern and applying it to search are in progress in these days. Web searchers can more efficiently find information and easily obtain appropriate information through the personalized search. In this paper, we propose the personalized search based on community through the analysis of web users' query patterns and interest. Consequently, when applying query frequency, interest and community to web search, we are able to the confirm that the search results which hit to the search intent of the individual are provided.

기존의 웹 검색 엔진들은 사용자의 검색 의도를 충분히 반영하지 못하기 때문에 사용자가 원하는 정확한 정보를 찾기가 어렵다. 따라서 최근에는 개인의 검색 패턴을 분석하여 검색에 반영함으로써 검색 결과에 대한 만족도를 높이기 위한 많은 연구들이 진행되고 있다. 이러한 개인화 검색을 통해 사용자는 방대한 웹상의 정보들 중 자신의 검색 의도에 보다 적합하고 정확한 정보를 획득할 수 있다. 본 논문에서는 웹 사용자들의 질의어 사용 빈도수(Frequency)에 대한 랭킹 정보를 통해 최근 주요 관심사(Interest)를 파악하고, 주요 관심사 별로 형성된 커뮤니티(Community)를 기반으로 수행되는 개인화 검색 방안을 제안한다. 실험결과 질의어 빈도수, 관심사 및 커뮤니티를 검색에 반영할 경우 개인의 검색 의도에 보다 적합한 검색 결과가 제공되는 것을 확인할 수 있다.

Keywords

References

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