Improving web browsing on small devices based on table classification

Authors:
Chong Wang;Xing Xie;Wenyuan Wang;Wei-Ying Ma
Affiliations:
Department of Automation, Tsinghua University, Beijing, P.R.China;Microsoft Research Asia, Beijing, P.R.China;Department of Automation, Tsinghua University, Beijing, P.R.China;Microsoft Research Asia, Beijing, P.R.China
Venue:
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
Year:
2004

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Abstract

Browsing large web pages on small screens is still very inconvenient due to their limited display sizes. A straightforward solution is eliminating the annoying horizontal scrolling requirement, i.e. present all the contents into a single narrow column, usually named one-column view. It is implemented by deleting the layout that will cause horizontal scrolling. However, after deleting the layout structure, some structural information becomes unreadable, like data tables. In this paper, we propose an approach to improve web browsing on small devices by classifying HTML tables into data tables and layout tables. For data tables, we try to preserve the original structural information in the final presentation. Therefore, the browsing experience can be improved for the one-column view. Experimental results show that our approach can achieve a satisfactory performance.