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Subject

Customized Search System using Real-time Contexts of User
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Search
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사용자의 실시간 상황정보를 이용한 사용자 맞춤 검색 시스템

논문 기본 정보

Type
Academic journal
Author
Mi-Rim Kwon (숭실대학교) Kwang-Jin Hong (숭실대학교) Kee-Chul Jung (숭실대학교)
Journal
Korea Society of Industrial Informantion Systems Journal of the Korea Industrial Information Systems Research Vol.21 No.5 KCI Accredited Journals
Published
2016.10
Pages
19 - 30 (12page)

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Topic
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Method
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Result
Customized Search System using Real-time Contexts of User
Ask AI
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Search
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Abstract· Keywords

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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.

Contents

요약
Abstract
1. 서론
2. 사용자 맞춤 검색을 제공하는 시스템 모델
3. 실험 비교 및 결과
4. 결론
References

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UCI(KEPA) : I410-ECN-0101-2017-530-001869690