User interest-based filtering and clustering for web information visualization

The World Wide Web has become the major source of information in the modern world. Users access information via browsers and search engines. Alternatively, they can view web pages as graphs which benefit end-users by enabling them to find related information and its inherent relationships quickly and effectively. Existing web-graphs are sometimes ineffective because the interests of the end-users, especially those who have different information needs, are not sufficiently considered. To address this, an architecture of user interest-based web-graph generation is presented which models user interests and incorporates them in information filtering, graph generation and clustering to produce personalized web-graphs.