Abstract
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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
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)
Dubroy, P., Balakrishnan, R.: A Study of Tabbed Browsing Among Mozilla Firefox Users. In: Proc. of the 28th Int. Conf. on Human Factors in Computing Systems - CHI 2010, pp. 673–682. ACM Press, New York (2010)
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)
Bonnin, G., Brun, A., Boyer, A.: Towards Tabbing Aware Recommendations. In: Proceedings of the 1st Int. Conf. on Intelligent Interactive Technologies and Multimedia - IITM 2010, pp. 316–323. ACM Press, New York (2010)
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)
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)
Šimko, M., Barla, M., Bieliková, M.: ALEF: A framework for adaptive web-based learning 2.0. In: Reynolds, N., Turcsányi-Szabó, M. (eds.) KCKS 2010. IFIP AICT, vol. 324, pp. 367–378. Springer, Heidelberg (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Labaj, M., Bieliková, M. (2013). Tabbed Browsing Behavior as a Source for User Modeling. In: Carberry, S., Weibelzahl, S., Micarelli, A., Semeraro, G. (eds) User Modeling, Adaptation, and Personalization. UMAP 2013. Lecture Notes in Computer Science, vol 7899. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38844-6_46
Download citation
DOI: https://doi.org/10.1007/978-3-642-38844-6_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38843-9
Online ISBN: 978-3-642-38844-6
eBook Packages: Computer ScienceComputer Science (R0)