DocumentCode :
945860
Title :
A Web Usage Mining Framework for Mining Evolving User Profiles in Dynamic Web Sites
Author :
Nasraoui, Olfa ; Soliman, Maha ; Saka, Esin ; Badia, Antonio ; Germain, Richard
Author_Institution :
Univ. of Louisville, Louisville
Volume :
20
Issue :
2
fYear :
2008
Firstpage :
202
Lastpage :
215
Abstract :
In this paper, we present a complete framework and findings in mining Web usage patterns from Web log files of a real Web site that has all the challenging aspects of real-life Web usage mining, including evolving user profiles and external data describing an ontology of the Web content. Even though the Web site under study is part of a nonprofit organization that does not "sell" any products, it was crucial to understand "who" the users were, "what" they looked at, and "how their interests changed with time," all of which are important questions in Customer Relationship Management (CRM). Hence, we present an approach for discovering and tracking evolving user profiles. We also describe how the discovered user profiles can be enriched with explicit information need that is inferred from search queries extracted from Web log data. Profiles are also enriched with other domain-specific information facets that give a panoramic view of the discovered mass usage modes. An objective validation strategy is also used to assess the quality of the mined profiles, in particular their adaptability in the face of evolving user behavior.
Keywords :
Web sites; consumer behaviour; customer relationship management; data mining; information needs; information retrieval; ontologies (artificial intelligence); Web content ontology; Web log file; Web usage mining framework; customer behaviour; customer relationship management; dynamic Web site; information need; search query extraction; user profile; Data mining; Personalization; User profiles and alert services; Web mining;
fLanguage :
English
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1041-4347
Type :
jour
DOI :
10.1109/TKDE.2007.190667
Filename :
4358953
Link To Document :
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