Tabbed Browsing Behavior as a Source for User Modeling

摘要

In our research, we focus on improving the user model by using novel sources of user feedback - tabbed browsing behavior of the users (also called parallel browsing). The tabbing is nowadays established as the more accurate description of browsing activities than the previous linear representation. Users take advantage of multiple tabs in various scenarios, by which they express different relations and preferences to hypermedia being visited in such tabs. The aimed contribution is to include this behavior into the user model, so improving accuracy of modeled user's characteristics and thus improving personalization.