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Article
Mining User Navigation Patterns for Personalizing Topic Directories
9th ACM International Workshop on Web Information and Data Management (2007)
  • T. Dalamagas
  • P. Bouros
  • T. Galanis, University of Edinburgh
  • Magdalini Eirinaki, San Jose State University
  • T. Sellis
Abstract
Topic directories are popular means of organizing informa- tion resources in the web. In this work, we introduce a methodology for personalizing topic directories. The key feature of our methodology is that the personalization is based on the mining of navigation patterns extracted from previous user visits. These patterns, expressed in the form of visited categories and retrieved resources, represent the navigation behaviour and interests of different users or user groups. Our work provides a set of mining tasks for user navigation patterns and a set of personalization tasks that customize the organization of the topic directory according to these patterns for certain user groups.
Disciplines
Publication Date
November, 2007
Citation Information
T. Dalamagas, P. Bouros, T. Galanis, Magdalini Eirinaki, et al.. "Mining User Navigation Patterns for Personalizing Topic Directories" 9th ACM International Workshop on Web Information and Data Management (2007)
Available at: http://works.bepress.com/magdalini_eirinaki/22/