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Research of Matrix Clustering Algorithm Based on Web User Access Pattern

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Web Information Systems and Mining (WISM 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6988))

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Abstract

It is of great significance that summarizing the regular pattern of the user along the URL to find and browse the Web, mining user browsing patterns to help users reach the target page quickly for realizing the personalized navigation of search engine. In order to provide personalized service, an optimized matrix clustering algorithm is proposed, which can cluster the page users access, analysis and study the laws in the Web log records to improve performance and organizational structure of Web site according to browsing patterns of user accessing to Web, understand the user behavior, find user browsing patterns. The Experiment results shows that the algorithm has good practicability with accurately reflecting the Web visits.

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Author information

Authors and Affiliations

  1. Application Technology College, Liaoning Technical University, Fuxin, China

    Jian Bao

Authors
  1. Jian Bao
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Editor information

Editors and Affiliations

  1. Department of Computer and Inforamtion Science, University of Macau, Av. Padre Tomás Pereira, Taipa, Macau, China

    Zhiguo Gong

  2. School of Computer, Shanghai University, 200444, Shanghai, China

    Xiangfeng Luo

  3. College of Computer and Software, Taiyuan University of Technology, 030024, Taiyuan, China

    Junjie Chen

  4. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

  5. Department of Business Administration, Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan O, Hong Kong, China

    Fu Lee Wang

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© 2011 Springer-Verlag Berlin Heidelberg

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Bao, J. (2011). Research of Matrix Clustering Algorithm Based on Web User Access Pattern. In: Gong, Z., Luo, X., Chen, J., Lei, J., Wang, F.L. (eds) Web Information Systems and Mining. WISM 2011. Lecture Notes in Computer Science, vol 6988. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23982-3_20

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  • DOI: https://doi.org/10.1007/978-3-642-23982-3_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23981-6

  • Online ISBN: 978-3-642-23982-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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