A Web Usage Mining Framework for Web Directories Personalization
نویسنده
چکیده
In this thesis we propose a novel framework that combines Web personalization and Web directories, which results in the concept of Community Web Directories. Community Web directories is a novel form of personalization performed on Web directories, that correspond to “segments” of the directory hierarchy, representing the interests and preferences of user communities. The proposed approach is based on Web usage mining and the usage data that are analyzed here correspond to user navigation throughout the Web, rather than a particular Web site. For the construction of Community Web Directories, we introduce three novel techniques that combine the users’ browsing behavior with thematic information from the Web directories. Finally, we present OurDMOZ, a system that builds and maintains community Web direc-
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