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A New Navigation Method for Web Users

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Grid and Cooperative Computing (GCC 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3032))

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Abstract

Despite the growth of Internet and the advances in WWW technology, current methods for web users to make good use of information from so enormous web pages are not as efficient as we would like. After an algorithm is necessarily given for collecting desired data to gain top grade results, a modified Markov Chain Model is introduced which utilizes all group members’ traces to recommend some potential sites and navigates them when browsing Web pages.

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References

  1. Kosala, R., Blockeel, H.: Web Mining Research: A Survey. SIGKDD Explorations 2(1) (July 2000)

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  2. Srivastava, J., Cooley, R., Deshpande, M., Tan, P.-N.: Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data. SIGKDD Explorations 1(2) (January 2000)

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  3. Häggström, O.: Finite Markov Chains and Algorithmic Applications. Cambridge University Press, Cambridge

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  4. Levene, M., Loizou, G.: Web interaction and the navigation problem in hypertext. Encyclopedia of Microcomputers 28( suppl. 7), 381–398 (2002)

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© 2004 Springer-Verlag Berlin Heidelberg

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Yang, J., Wu, G., Zhu, L. (2004). A New Navigation Method for Web Users. In: Li, M., Sun, XH., Deng, Qn., Ni, J. (eds) Grid and Cooperative Computing. GCC 2003. Lecture Notes in Computer Science, vol 3032. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24679-4_28

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  • DOI: https://doi.org/10.1007/978-3-540-24679-4_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21988-0

  • Online ISBN: 978-3-540-24679-4

  • eBook Packages: Springer Book Archive

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