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Modeling the Users’ Navigation History by Semistructured Temporal Graph |
Wang Fen1 Zhang Yufeng2 |
1(Wuhan University Library, Wuhan 430072, China)
2(School of Information Management, Wuhan University, Wuhan 430072, China) |
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Abstract In this paper,we fristly survey and classify the current researches on personalized navigation of Web,and probe how to modeling the users’ navigation history by semistructured temporal graph, then point out its shortages. Also the paper presents an improved model which can great decrease the time and space complexity of the algorithm for realizing the model.
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Received: 15 November 2005
Published: 25 February 2006
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Corresponding Authors:
Wang Fen
E-mail: wangfen@lib.whu.edu.cn
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About author:: Wang Fen,Zhang Yufeng |
1Ah-Hwee Tan,Hwee-Leng ong, Hong Pan, Jamie Ng, Qiu-Xiang Li.FOCI:A Personalized Web Intelligence Sysem.Proceeding of IJCAI workshop on Intelligent Techniques for Web Personalization, August 14-19,2001,Seattle,USA
2Gayer-Schulz,Hahsler.Evaluation of Recommender Algorithms for an Internet Information Broker Based on Simple Association-Rules and on Repeat-Buying Theory.In WebKDD 2002 Workshop on Web Mining for Usage Patterns & Profies
3Ernesto Damiani.Modeling Users’Navigation History.IJCAI’S Workshop on Intelligent Techniques for Web Personalization,August,2001,Seattle,USA
4J.kleinberg.Navigation in a small world.In Nature 406(2000)
5Ed H.Chi,Adam Rosien,Jeffrey Heer.LumberJack:Intelligent Discovery and Analysis of Web User Traffic Composition.WebKDD 2002 Workshop,July,2002 Edmonton,Canada
6http://mathworld.Wolfram.com/Greedy Algorithm.htmd(Accessed Oct.8,2005)
7D.W.Cheung,J.Ham,V.Ng and C.Y.Wong.Maintenance of Discovered Association Rules in Large Databases:An Incremental Updation Techniques.Proceddings of ICDE,1996 |
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