Skip to main content
Article
SEWeP: A Web Mining System supporting Semantic Personalization
Proc. of the 15th European Conference on Machine Learning and the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases (2004)
  • Magdalini Eirinaki, San Jose State University
  • D. Mavroeidis
  • G. Tsatsaronis
  • M. Vazirgiannis
Abstract
Web personalization is the process of customizing a Web site to the needs of each specific user or set of users. Most of the research efforts in Web personalization correspond to the evolution of extensive research in Web usage mining. When a personalization system relies solely on usage-based results, however, valuable information conceptually related to what is finally recommended may be missed. To tackle this problem we propose a Web personalization framework based on semantic enhancement of the Web usage logs and the related Web content. We present SEWeP, a Web Personalization prototype system, based on the framework proposed in [3]. This system integrates usage data with content semantics, expressed in taxonomy terms, in order to produce semantically enhanced navigational patterns that can subsequently be used for producing valuable recommendations.
Publication Date
September, 2004
Citation Information
Magdalini Eirinaki, D. Mavroeidis, G. Tsatsaronis and M. Vazirgiannis. "SEWeP: A Web Mining System supporting Semantic Personalization" Proc. of the 15th European Conference on Machine Learning and the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases (2004)
Available at: http://works.bepress.com/magdalini_eirinaki/25/