Mining Sequential Patterns: Generalizations and Performance Improvements
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Relational Markov models and their application to adaptive web navigation
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-Centric Systems and Applications)
Adaptive web navigation for wireless devices
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
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Today, Portals provide users with a central point of access to companywide information. Initially they focused on presenting the most valuable and widely used information to users for efficient information access. But the amount of information accessible quickly grew and finding the right information can hence become a tedious task. We will demonstrate a solution for adapting the Portal's structure, especially its navigation and page structures. We allow for advanced adaptations that each user can perform manually as well as for automated adaptations based on user- and context models reflecting users' interests and preferences. Our main concepts have been embedded and evaluated within IBM's WebSphere Portal.