A Road Map to More Effective Web Personalization: Integrating Domain Knowledge with Web Usage Mining.
Honghua Dai, Bamshad Mobasher · International Conference on Internet Computing · 2003
AbstractPersonalization based on Web usage mining can enhance the effectiveness and scalability of collabora-tive filtering. However, without semantic knowledge about the underlying domain, such systems cannotrecommend different types of complex objects based in their underlying properties and attributes. Thispaper provides an overview of approaches for incorporating semantic knowledge into Web usage miningand personalization processes. We present two general approaches to integrate semantic knowledge ex-tracted from the content features of pages into the usage-based personalization process. Next, we presenta general framework of integrating domain ontologies with Web Usage Mining and Personalization. Ineach case, we discuss how semantic knowledge is leveraged and represented in the preprocessing andpattern discovery phases, as well as how it is used to enhance usage-based personalization. 1 Introduction One of the most widely used technologies for building personalizationand recommendation systems is collab-orative filtering (CF) [9]. Given a target user’s recordof activity or preferences, CF-based techniques, suchas the