Tabbed Browsing Behavior as a Source for User Modeling
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.
Keywordsuser modeling tabbed browsing adaptive web-based systems
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- 1.Viermetz, M., Stolz, C., Gedov, V., Skubacz, M.: Relevance and Impact of Tabbed Browsing Behavior on Web Usage Mining. In: 2006 IEEE/WIC/ACM Int. Conf. on Web Intelligence - WI 2006, pp. 262–269. IEEE (2006)Google Scholar
- 3.Huang, J., Lin, T., White, R.W.: No Search Result Left Behind: Branching Behavior with Browser Tabs. In: Proc. of the 5th ACM Int. Conf. on Web Search and Data Mining - WSDM 2012, pp. 203–212. ACM Press, New York (2012)Google Scholar
- 5.Huang, J., White, R.W.: Parallel browsing behavior on the web. In: Proc. of the 21st Conf. on Hypertext and Hypermedia - HT 2010, pp. 13–17. ACM Press, New York (2010)Google Scholar
- 6.Labaj, M., Bieliková, M.: Modeling parallel web browsing behavior for web-based educational systems. In: Proc.of the 10th Int. Conf. on Emerging eLearning Technologies and Applications - ICETA 2012, pp. 229–234. IEEE (2012)Google Scholar