COWES: Web user clustering based on evolutionary web sessions

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  • Nanyang Technological University (NTU)
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OriginalspracheEnglisch
Seiten (von - bis)867-885
Seitenumfang19
FachzeitschriftData and Knowledge Engineering
Jahrgang68
Ausgabenummer10
Frühes Online-Datum19 Mai 2009
PublikationsstatusVeröffentlicht - Okt. 2009

Abstract

As one of the most important tasks of Web Usage Mining (WUM), web user clustering, which establishes groups of users exhibiting similar browsing patterns, provides useful knowledge to personalized web services and motivates long term research interests in the web community. Most of the existing approaches cluster web users based on the snapshots of web usage data, although web usage data are evolutionary in the nature. Consequently, the usefulness of the knowledge discovered by existing web user clustering approaches might be limited. In this paper, we address this problem by clustering web users based on the evolution of web usage data. Given a set of web users and their associated historical web usage data, we study how their usage data change over time and mine evolutionary patterns from each user's usage history. The discovered patterns capture the characteristics of changes to a web user's information needs. We can then cluster web users by analyzing common and similar evolutionary patterns shared by users. Web user clusters generated in this way provide novel and useful knowledge for various personalized web applications, including web advertisement and web caching.

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COWES: Web user clustering based on evolutionary web sessions. / Chen, Ling; Bhowmick, Sourav S.; Nejdl, Wolfgang.
in: Data and Knowledge Engineering, Jahrgang 68, Nr. 10, 10.2009, S. 867-885.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Chen L, Bhowmick SS, Nejdl W. COWES: Web user clustering based on evolutionary web sessions. Data and Knowledge Engineering. 2009 Okt;68(10):867-885. Epub 2009 Mai 19. doi: 10.1016/j.datak.2009.05.002
Chen, Ling ; Bhowmick, Sourav S. ; Nejdl, Wolfgang. / COWES : Web user clustering based on evolutionary web sessions. in: Data and Knowledge Engineering. 2009 ; Jahrgang 68, Nr. 10. S. 867-885.
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Download

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AU - Bhowmick, Sourav S.

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