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このアイテムの引用には次の識別子を使用してください: http://hdl.handle.net/10119/3928

タイトル: Research on Model of Web Pages Clustering
著者: Kuanjiu, Zhou
Yifei, Qu
Tiyun, Huang
キーワード: Web Pages Clustering
Similarity Matrix
Structure Disintegration Model
Web Usage Mining
発行日: Nov-2005
出版者: JAIST Press
抄録: Web pages clustering is to divide different web pages into different classes according to traveling information of users so as to recommend relative pages to a user when the user is searching a website for his expectant information and to push relative pages to a user when the user is browsing one page. A similarity matrix, which shows similarity degree for any two pages in a website, is constructed according to users traveling paths to implement web pages clustering. A directional graph is created according to the users traveling paths at first and then a usage similarity matrix is constructed according to the directional graph. Structure disintegration model is adopted to analyze the similarity matrix and to transform the matrix into a catercorner matrix or a nether triangle matrix, which shows web pages clustering classes and relations among these classes.
記述: The original publication is available at JAIST Press http://www.jaist.ac.jp/library/jaist-press/index.html
IFSR 2005 : Proceedings of the First World Congress of the International Federation for Systems Research : The New Roles of Systems Sciences For a Knowledge-based Society : Nov. 14-17, 2138, Kobe, Japan
Symposium 6, Session 6 : Vision of Knowledge Civilization Society and Knowledge
言語: ENG
URI: http://hdl.handle.net/10119/3928
ISBN: 4-903092-02-X
出現コレクション:IFSR 2005

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