Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
A hybrid user model for news story classification
UM '99 Proceedings of the seventh international conference on User modeling
Communications of the ACM
Personalization on the Net using Web mining: introduction
Communications of the ACM
Automatic personalization based on Web usage mining
Communications of the ACM
Towards adaptive Web sites: conceptual framework and case study
Artificial Intelligence - Special issue on Intelligent internet systems
Scaling for E Business: Technologies, Models, Performance, and Capacity Planning
Scaling for E Business: Technologies, Models, Performance, and Capacity Planning
Using hyperlink features to personalize web search
WebKDD'04 Proceedings of the 6th international conference on Knowledge Discovery on the Web: advances in Web Mining and Web Usage Analysis
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Assisting the users with a variety of interests during site navigation and making them aware of the information architecture can increase a Web site's usability. It is important that a visitor is able to achieve the Web site's commercial objective. Today's Web sites are not always intelligent enough to assist a user in achieving this objective. This article models the user's interest based on the past users' navigation pattern and the individual user's within-session page request pattern. On the basis of these models, the authors propose an algorithm that generates a set of most relevant links (index) to be displayed on each requested page.