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The hunter and the hunted — Modelling the relationship between web pages and search engines

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Research and Development in Knowledge Discovery and Data Mining (PAKDD 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1394))

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Abstract

The major objective of a World Wide Web (WWW) search engine is to uncover WWW pages relevant to a search. The original purpose of a page might have been to inform but since the advent of search engines there has been another imperative to catch the engines' attention and to be rated as highly as possible. In turn the search engines will have to be more clever to filter out gratuitous promotion. This race is an ongoing evolutionary process.

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References

  1. G. Pringle, L. Allison & D.L. Dowe. What is a tall poppy among web pages? Accepted for Proc. of the 7th Int. WWW Conf. Brisbane, Australia, 1998.

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  2. Lycos. URL:http://www.lycos.com/.

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  3. Magellan voyeur. URL:http://voyeur.mckinley.com/cgi-bin/voyeur.cgi.

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  4. C.S.Wallace & J.Patrick. Coding decision trees. Machine Learning, 11:7–22, 1993

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Author information

Authors and Affiliations

  1. School of Computer Science and Software Engineering, Monash University, 3168, Clayton, Vic., Australia

    David L. Dowe, Lloyd Allison & Glen Pringle

Authors
  1. David L. Dowe
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  2. Lloyd Allison
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  3. Glen Pringle
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Editor information

Editors and Affiliations

  1. School of Computer Science and Software Engineering, Monash university, 900 Dandenong Road, Caulfield East, Victoria, 3145, Australia

    Xindong Wu

  2. Department of Computer Science, The University of Melbourne, Parkville, Victoria, 3052, Australia

    Ramamohanarao Kotagiri

  3. School of Computer Science and Engineering, Monash university, Clayton, Victoria, 3168, Australia

    Kevin B. Korb

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© 1998 Springer-Verlag Berlin Heidelberg

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Dowe, D.L., Allison, L., Pringle, G. (1998). The hunter and the hunted — Modelling the relationship between web pages and search engines. In: Wu, X., Kotagiri, R., Korb, K.B. (eds) Research and Development in Knowledge Discovery and Data Mining. PAKDD 1998. Lecture Notes in Computer Science, vol 1394. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64383-4_34

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  • DOI: https://doi.org/10.1007/3-540-64383-4_34

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64383-8

  • Online ISBN: 978-3-540-69768-8

  • eBook Packages: Springer Book Archive

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