Improving the web site's effectiveness by considering each page's temporal information

ZG Li*, MT Sun, MH Dunham, YQ Xiao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)

Abstract

Improving the effectiveness of a web site is always one of its owner's top concerns. By focusing on analyzing web users' visiting behavior, web mining researchers have developed a variety of helpful methods, based upon association rules, clustering, prediction and so on. However, we have found little attention has been spent in studying the temporal property associated with each page at a given web site, which, under our investigation, in fact has stored valuable information that could disclose extra useful user behaving knowledge. In this paper we study and propose a new web mining technique - temporal web log mining - by taking frequently-overlooked temporal information regarding each page of a given web site into account and integrating it with human heuristics. The discovered temporal web patterns then could be used to improve the web site's effectiveness.

Original languageEnglish
Title of host publicationADVANCES IN WEB-AGE INFORMATION MANAGEMENT, PROCEEDINGS
EditorsG Dong, C Tang, W Wang
Place of PublicationBERLIN
PublisherSpringer
Pages47-54
Number of pages8
ISBN (Print)3-540-40715-4
Publication statusPublished - 2003
Event4th International Conferenc on Advances in Web-Age Information Management (WAIM 2003) -
Duration: 17-Aug-200319-Aug-2003

Publication series

NameLECTURE NOTES IN COMPUTER SCIENCE
PublisherSPRINGER-VERLAG BERLIN
Volume2762
ISSN (Print)0302-9743

Other

Other4th International Conferenc on Advances in Web-Age Information Management (WAIM 2003)
Period17/08/200319/08/2003

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