Creating adaptive Web sites through usage-based clustering of URLs

Bamshad Mobasher, Robert Cooley, Jaideep Srivastava

Research output: Chapter in Book/Report/Conference proceedingConference contribution

160 Citations (Scopus)

Abstract

In this paper We describe an approach to usage based Web personalization taking into account both the offline tasks related to the mining of usage data, and the online process of automatic Web page customization based on the mined knowledge. Specifically, we propose an effective technique for capturing common user profiles based on association rule discovery and usage based clustering. We also propose techniques for combining this knowledge with the current status of an ongoing Web activity to perform real time personalization. Finally, we provide an experimental evaluation of the proposed techniques using real Web usage data.

Original languageEnglish
Title of host publicationProceedings - 1999 Workshop on Knowledge and Data Engineering Exchange, KDEX 1999
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages19-25
Number of pages7
ISBN (Electronic)0769504531, 9780769504537
DOIs
Publication statusPublished - 1 Jan 1999
Externally publishedYes
Event1999 Workshop on Knowledge and Data Engineering Exchange, KDEX 1999 - Chicago, United States
Duration: 7 Nov 1999 → …

Other

Other1999 Workshop on Knowledge and Data Engineering Exchange, KDEX 1999
CountryUnited States
CityChicago
Period7/11/99 → …

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ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management

Cite this

Mobasher, B., Cooley, R., & Srivastava, J. (1999). Creating adaptive Web sites through usage-based clustering of URLs. In Proceedings - 1999 Workshop on Knowledge and Data Engineering Exchange, KDEX 1999 (pp. 19-25). [836525] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/KDEX.1999.836525