Mining user navigation patterns for personalizing topic directories
Theodore Dalamagas, Panagiotis Bouros, Theodore Galanis, Magdalini Eirinaki, Timos Sellis · 2007
Topic directories are popular means of organizing information 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.