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Enhancing the Performance of Blog Retrieval by User Tagging and Social Network Analysis

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2010, v.27 no.1, pp.61-77
https://doi.org/10.3743/KOSIM.2010.27.1.061


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Abstract

Blogs are now one of the major information resources on the web. The purpose of this study is to enhance the performance of blog retrieval by means of user assigned tags and trackback information. To this end, retrieval experiments were performed with a dataset of 4,908 blog pages together with their associated trackback URLs. In the experiments, text terms, user tags, and network centrality values based on trackbacks were variously combined as retrieval features. The experimental results showed that employing user tags and network centrality values as retrieval features in addition to text words could improve the performance of blog retrieval.

keywords
blog retrieval, user tags, trackbacks, network centrality, social network analysis, 블로그 검색, 이용자 태그, 트랙백, 네트워크 중심성, 사회연결망분석, blog retrieval, user tags, trackbacks, network centrality, social network analysis

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Journal of the Korean Society for Information Management