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

David L Dowe; Lloyd Allison; Glen Pringle

doi:10.1007/3-540-64383-4_34

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

David L Dowe, Lloyd Allison, Glen Pringle

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

2 Citations (Scopus)

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.

Original language	English
Title of host publication	Research and Development in Knowledge Discovery and Data Mining
Subtitle of host publication	Second Pacific-Asia Conference, PAKDD-98 Melbourne, Australia, April 15-17, 1998 Proceedings
Editors	Xindong Wu, Ramamohanarao Kotagiri, Kevin B. Korb
Place of Publication	Berlin Germany
Publisher	Springer
Pages	380-382
Number of pages	3
ISBN (Print)	3540643834
DOIs	https://doi.org/10.1007/3-540-64383-4_34
Publication status	Published - 1998
Event	Pacific-Asia Conference on Knowledge Discovery and Data Mining 1998 - Melbourne, Australia Duration: 15 Apr 1998 → 17 Apr 1998 Conference number: 2nd https://link.springer.com/book/10.1007/3-540-64383-4 (Proceedings)

Publication series

Name	Lecture Notes in Artificial Intelligence
Publisher	Springer
Volume	1394
ISSN (Print)	0302-9743

Conference

Conference	Pacific-Asia Conference on Knowledge Discovery and Data Mining 1998
Abbreviated title	PAKDD 1988
Country/Territory	Australia
City	Melbourne
Period	15/04/98 → 17/04/98
Internet address	https://link.springer.com/book/10.1007/3-540-64383-4 (Proceedings)

Access to Document

10.1007/3-540-64383-4_34

Cite this

Dowe, D. L., Allison, L., & Pringle, G. (1998). The hunter and the hunted - Modelling the relationship between web pages and search engines. In X. Wu, R. Kotagiri, & K. B. Korb (Eds.), Research and Development in Knowledge Discovery and Data Mining: Second Pacific-Asia Conference, PAKDD-98 Melbourne, Australia, April 15-17, 1998 Proceedings (pp. 380-382). (Lecture Notes in Artificial Intelligence ; Vol. 1394). Springer. https://doi.org/10.1007/3-540-64383-4_34

Dowe, David L ; Allison, Lloyd ; Pringle, Glen. / The hunter and the hunted - Modelling the relationship between web pages and search engines. Research and Development in Knowledge Discovery and Data Mining: Second Pacific-Asia Conference, PAKDD-98 Melbourne, Australia, April 15-17, 1998 Proceedings . editor / Xindong Wu ; Ramamohanarao Kotagiri ; Kevin B. Korb. Berlin Germany : Springer, 1998. pp. 380-382 (Lecture Notes in Artificial Intelligence ).

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title = "The hunter and the hunted - Modelling the relationship between web pages and search engines",

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.",

author = "Dowe, {David L} and Lloyd Allison and Glen Pringle",

year = "1998",

doi = "10.1007/3-540-64383-4_34",

language = "English",

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series = "Lecture Notes in Artificial Intelligence ",

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pages = "380--382",

editor = "Xindong Wu and Ramamohanarao Kotagiri and Korb, {Kevin B.}",

booktitle = "Research and Development in Knowledge Discovery and Data Mining",

note = "Pacific-Asia Conference on Knowledge Discovery and Data Mining 1998, PAKDD 1988 ; Conference date: 15-04-1998 Through 17-04-1998",

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Dowe, DL, Allison, L & Pringle, G 1998, The hunter and the hunted - Modelling the relationship between web pages and search engines. in X Wu, R Kotagiri & KB Korb (eds), Research and Development in Knowledge Discovery and Data Mining: Second Pacific-Asia Conference, PAKDD-98 Melbourne, Australia, April 15-17, 1998 Proceedings . Lecture Notes in Artificial Intelligence , vol. 1394, Springer, Berlin Germany, pp. 380-382, Pacific-Asia Conference on Knowledge Discovery and Data Mining 1998, Melbourne, Victoria, Australia, 15/04/98. https://doi.org/10.1007/3-540-64383-4_34

The hunter and the hunted - Modelling the relationship between web pages and search engines. / Dowe, David L; Allison, Lloyd; Pringle, Glen.
Research and Development in Knowledge Discovery and Data Mining: Second Pacific-Asia Conference, PAKDD-98 Melbourne, Australia, April 15-17, 1998 Proceedings . ed. / Xindong Wu; Ramamohanarao Kotagiri; Kevin B. Korb. Berlin Germany: Springer, 1998. p. 380-382 (Lecture Notes in Artificial Intelligence ; Vol. 1394).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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AB - 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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DO - 10.1007/3-540-64383-4_34

M3 - Conference Paper

SN - 3540643834

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BT - Research and Development in Knowledge Discovery and Data Mining

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Dowe DL, Allison L, Pringle G. The hunter and the hunted - Modelling the relationship between web pages and search engines. In Wu X, Kotagiri R, Korb KB, editors, Research and Development in Knowledge Discovery and Data Mining: Second Pacific-Asia Conference, PAKDD-98 Melbourne, Australia, April 15-17, 1998 Proceedings . Berlin Germany: Springer. 1998. p. 380-382. (Lecture Notes in Artificial Intelligence ). doi: 10.1007/3-540-64383-4_34