RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      검색결과 좁혀 보기

      선택해제

      오늘 본 자료

      • 오늘 본 자료가 없습니다.
      더보기
      • 무료
      • 기관 내 무료
      • 유료
      • Search Query Expansion using Genetic Algorithm–based Clustering

        Indumathi D,Chitra A,Girthana K 한국산학기술학회 2013 SmartCR Vol.3 No.1

        The World Wide Web has become a resource pool for people seeking information. Current Web search engines try to deliver relevant information to users, but due to both exponential growth of information and imprecise queries, search engines cannot meet users’ information requirements. Users have to reframe queries until they get the desired information. To improve users’ search experience, some search engines provide query suggestions that are semantically related to a particular query. These systems provide the same suggestions to the same queries without considering the personal interest of the user. This paper presents an approach to provide personalized query suggestions based on a genetic algorithm?based clustering technique. This improves retrieval effectiveness and relevancy by expanding the query with additional words. Unlike existing methods, this technique provides personalized query suggestions for each individual user according to that user’s conceptual needs. The main objective of this work is to improve retrieval of information by expanding the user’s query based on the user’s domain of interest.

      연관 검색어 추천

      이 검색어로 많이 본 자료

      활용도 높은 자료

      해외이동버튼