What do web users do? An empirical analysis of web use
International Journal of Human-Computer Studies
Mining the Web: Discovering Knowledge from HyperText Data
Mining the Web: Discovering Knowledge from HyperText Data
The advantages of a cross-session web workspace
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Understanding the intent behind mobile information needs
Proceedings of the 14th international conference on Intelligent user interfaces
Extraction and classification of dense implicit communities in the Web graph
ACM Transactions on the Web (TWEB)
Visual snippets: summarizing web pages for search and revisitation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Building support for multi-session tasks
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Combining anchor text categorization and graph analysis for paid link detection
Proceedings of the 18th international conference on World wide web
Multitasking bar: prototype and evaluation of introducing the task concept into a browser
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
AutoWeb: automatic classification of mobile web pages for revisitation
MobileHCI '12 Proceedings of the 14th international conference on Human-computer interaction with mobile devices and services
DUXU'13 Proceedings of the Second international conference on Design, User Experience, and Usability: web, mobile, and product design - Volume Part IV
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Due to small screens, inaccuracy of input and other limitations of mobile devices, revisitation of Web pages in mobile browsers takes more time than that in desktop browsers. In this paper, we propose a novel approach to facilitate revisitation. We designed AutoWeb, a system that clusters opened Web pages into different topics based on their contents. Users can quickly find a desired opened Web page by narrowing down the searching scope to a group of Web pages that share the same topic. Clustering accuracy is evaluated to be 92.4% and computing resource consumption was proved to be acceptable. A user study was conducted to explore user experience and how much AutoWeb facilitates revisitation. Results showed that AutoWeb could save up a significant time for revisitation and participants rated the system highly.