| Learning Hierarchical User Interest Models from Web Pages |
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| 作者姓名： | YANG Feng-qin SUN Tie-li SUN Ji-gui |
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| 作者单位： | [1]College of Computer Science and Technology, Jilin University, Changchun 130012, Jilin, China [2]Key Laboratory for Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 120012, Jilin, China [3]Department of Computer Science, Northeast Normal University, Changchun 130024, Jilin, China |
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| 基金项目： | Supported by the National Natural Science Fundation of China （69973012, 60273080） |
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| 摘 要： | We propose an algorithm for learning hierarchical user interest models according to the Web pages users have browsed. In this algorithm, the interests of a user are represented into a tree which is called a user interest tree, the content and the structure of which can change simultaneously to adapt to the changes in a user＇s interests. This expression represents a user＇s specific and general interests as a continuurn. In some sense, specific interests correspond to shortterm interests, while general interests correspond to longterm interests. So this representation more really reflects the users＇ interests. The algorithm can automatically model a us er＇s multiple interest domains, dynamically generate the in terest models and prune a user interest tree when the number of the nodes in it exceeds given value. Finally, we show the experiment results in a Chinese Web Site.
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| 关 键 词： | 计算机网络 Web 失量空间模型 分级用户利益模型 聚类分析方法 |
| 文章编号： | 1007-1202（2006）01-0006-05 |
| 收稿时间： | 2005-04-20 |
Learning hierarchical user interest models from Web pages |
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| YANG Feng-qin SUN Tie-li SUN Ji-gui.Learning Hierarchical User Interest Models from Web Pages[J].Wuhan University Journal of Natural Sciences,2006,11(1):6-10. |
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| Authors: | Yang Feng-qin Sun Tie-li Sun Ji-gui |
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| Institution: | (1) College of Computer Science and Technology, Jilin University, 130012 Changchun Jilin, China;(2) Key Laboratory for Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, 130012 Changchun Jilin, China;(3) Department of Computer Science, Northeast Normal University, 130024 Changchun Jilin, China |
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| Abstract: | We propose an algorithm for learning hierarchical user interest models according to the Web pages users have browsed. In this
algorithm, the interests of a user are represented into a tree which is called a user interest tree, the content and the structure
of which can change simultaneously to adapt to the changes in a user's interests. This expression represents a user's specific
and general interests as a continuum. In some sense, specific interests correspond to short-term interests, while general
interests correspond to long-term interests. So this representation more really reflects the users' interests. The algorithm
can automatically model a user's multiple interest domains, dynamically generate the interest models and prune a user interest
tree when the number of the nodes in it exceeds given value. Finally, we show the experiment results in a Chinese Web Site.
Foundation item: Supported by the National Natural Science Fundatio of China (69973012, 60273080)
Biography: YANG Feng-qin(1978-), female, Ph. D. candidate, research direction: Web mining, intelligent user interface, constraint programming. |
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| Keywords: | personalization user interest model vector space model agglomerate clustering method |
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