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 language | English (US) |
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Title of host publication | Proceedings - 1999 Workshop on Knowledge and Data Engineering Exchange, KDEX 1999 |
Editors | Peter Scheuermann |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 19-25 |
Number of pages | 7 |
ISBN (Electronic) | 0769504531, 9780769504537 |
DOIs | |
State | Published - 1999 |
Event | 1999 Workshop on Knowledge and Data Engineering Exchange, KDEX 1999 - Chicago, United States Duration: Nov 7 1999 → … |
Publication series
Name | Proceedings - 1999 Workshop on Knowledge and Data Engineering Exchange, KDEX 1999 |
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Other
Other | 1999 Workshop on Knowledge and Data Engineering Exchange, KDEX 1999 |
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Country/Territory | United States |
City | Chicago |
Period | 11/7/99 → … |
Bibliographical note
Publisher Copyright:© 1999 IEEE.