Main Article Content
In this paper, we present a complete framework and findings in mining Web usage patterns from Web log files of a real Website 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 â€œsellâ€ any products, it was crucial to understand â€œwhoâ€ the users were, â€œwhatâ€ they looked at, and â€œhow their interests changed with time,â€ 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.
Index Termsâ€”Mining evolving click streams, user profiles, Web usage mining, semantic web mining.
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