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http://dx.doi.org/10.5391/JKIIS.2006.16.3.285

User-oriented Paper Search System by Relative Network  

Cho Young-Im (수원대학교 IT대학 컴퓨터학과)
Kang Sang-Gil (수원대학교 IT대학 컴퓨터학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.16, no.3, 2006 , pp. 285-290 More about this Journal
Abstract
In this paper we propose a novel personalized paper search system using the relevance among user's queried keywords and user's behaviors on a searched paper list. The proposed system builds user's individual relevance network from analyzing the appearance frequencies of keywords in the searched papers. The relevance network is personalized by providing weights to the appearance frequencies of keywords according to users' behaviors on the searched list, such as 'downloading,' 'opening,' and 'no-action.' In the experimental section, we demonstrate our method using 100 users' search information in the University of Suwon.
Keywords
상대네트워크;사용자중심의 논문검색시스템;에이전트;
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