Journal of the Korean Society for information Management (정보관리학회지)

Korean Society for Information Management (한국정보관리학회)
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Fusion Approach for Optimizing Web Search Performance

웹 검색 성능 최적화를 위한 융합적 방식

  • Yang, Kiduk (Kyungpook National University. Department of Library and Information Science)
  • Received : 2014.11.28
  • Accepted : 2015.03.09
  • Published : 2015.03.30
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Abstract

This paper describes a Web search optimization study that investigates both static and dynamic tuning methods for optimizing system performance. We extended the conventional fusion approach by introducing the "dynamic tuning" process with which to optimize the fusion formula that combines the contributions of diverse sources of evidence on the Web. By engaging in iterative dynamic tuning process, where we successively fine-tuned the fusion parameters based on the cognitive analysis of immediate system feedback, we were able to significantly increase the retrieval performance. Our results show that exploiting the richness of Web search environment by combining multiple sources of evidence is an effective strategy.

이 논문은 시스템 성능을 최적화하기 위해 정적 및 동적 튜닝 방법을 이용한 웹 융합검색 연구의 내용을 보고합니다. 기존의 융합 방식을 넘어선 "다이나믹 튜닝"이라는 과정을 도입하여 웹의 다양한 정보소스의 기여를 최적화 시킬 수 있는 융합 공식을 생성하는 방법을 조사한 이 연구의 결과는 웹 검색 환경의 풍요로운 여러 데이터 소스를 활용하는 것이 효과적인 전략이라는 것을 보여주었습니다. 본 연구에서는 즉각적인 시스템 피드백 인지분석을 기반으로 융합 매개 변수를 미세 조정하는 반복적 인 다이나믹 튜닝 과정을 통해 크게 검색 성능을 향상시킬 수 있었습니다.

Keywords

References

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