%0 Journal Article
%T A Similarity-Based Algorithm for Topic Exploration and Distillation<br>一种基于相似度分析的主题提取和发现算法
%A WANG Xiao-Yu
%A XIONG Fang
%A LING Bo
%A ZHOU Ao-Ying
%A <br>王晓宇
%A 熊方
%A 凌波
%A 周傲英
%J 软件学报
%D 2003
%I 
%X In this paper, the authors attempt to revisit the behaviour of HITS from a different point of view. Namely, a similarity-based analysis model is proposed to observe the distillation procedure. By defining a generalized similarity, an algorithm is presented, which can improve the quality of distillation using only hyperlinks. A topic exploration function is also integrated into the algorithm framework, which enables end-users to search less popular topics when multi-topics are involved in queries. The experimental results reveal two benefits from the new algorithm: the improvement of distillation quality without utilizing any content information of pages, and an additional ability to explore the topics emerging in the query results.
%K topic distillation
%K topic exploration
%K linkage analysis
%K Web searching<br>主题提取
%K 主题发现
%K 链接分析
%K Web搜索
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=A86EE5A967A108D8&yid=D43C4A19B2EE3C0A&vid=F3583C8E78166B9E&iid=9CF7A0430CBB2DFD&sid=6DC9B9BB39B3E540&eid=A7E1C896834B988A&journal_id=1000-9825&journal_name=软件学报&referenced_num=18&reference_num=9