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Customized Search System using Real-time Contexts of User

사용자의 실시간 상황정보를 이용한 사용자 맞춤 검색 시스템

  • 권미림 (숭실대학교 글로벌미디어학부) ;
  • 홍광진 (숭실대학교 글로벌미디어학부) ;
  • 정기철 (숭실대학교 글로벌미디어학부)
  • Received : 2016.10.17
  • Accepted : 2016.11.01
  • Published : 2016.10.31

Abstract

In these days, people get information from internet easily. However, there are too many information. It makes interrupt and inefficient for searching data. Therefore, we need user customized web search system which provides appropriate information. In this paper, we propose a searching system that can collect semi-automatically conditions of users such as weather, location and time and provide essential information to users. Using these context data, the proposed system can understand what information users want in specific situations and can provide more useful information to users than existing systems. The proposed system based on 'Production/Sharing Service of Personal Korean Contents with Voluntary Sharing Economy System' and we add data parsing algorithm in each input, store and search part. In the experiments, we compare and analyze the results of existing system and the proposed system using some general key words.

오늘날 우리는 인터넷에서 쉽게 정보를 얻지만, 수많은 정보들은 데이터 검색에 방해가 되며 비효율적이다. 그러므로 적절한 정보를 제공하는 사용자 맞춤의 웹 검색 시스템이 필요하다. 본 논문에서는 날씨, 위치, 시간 등 사용자가 처한 상황 정보를 반자동으로 수집하여 사용자에게 필요한 정보를 제공할 수 있는 검색 시스템을 제안한다. 이러한 상황 정보를 이용하면 검색 시스템은 사용자가 특정한 상황에서 어떤 정보를 원하는지 알 수 있으며, 사용자에게 보다 더 유용한 정보를 제공할 수 있다. 제안된 시스템은 '자발적 공유경제 방식의 개인 한글 콘텐츠 제작/공유 서비스'에 기반 하여 각 입력, 저장, 검색 부분에 데이터 파싱 알고리즘을 추가하였다. 실험에서는 몇 개의 일반적인 검색어를 이용해서 기존의 시스템과 제안된 시스템의 결과를 비교한다.

Keywords

References

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