Discovering informative content blocks from Web documents
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Detecting web page structure for adaptive viewing on small form factor devices
WWW '03 Proceedings of the 12th international conference on World Wide Web
Learning block importance models for web pages
Proceedings of the 13th international conference on World Wide Web
Adapting Web Pages for Small-Screen Devices
IEEE Internet Computing
User-Centric Adaptation of Structured Web Documents for Small Devices
AINA '05 Proceedings of the 19th International Conference on Advanced Information Networking and Applications - Volume 1
Relationship-aware Content Adaptation of Structured Web Documents for Mobile Computing
ICPADS '05 Proceedings of the 11th International Conference on Parallel and Distributed Systems - Volume 01
How people use the web on mobile devices
Proceedings of the 17th international conference on World Wide Web
Efficient web browsing on small screens
AVI '08 Proceedings of the working conference on Advanced visual interfaces
A segmentation method for web page analysis using shrinking and dividing
International Journal of Parallel, Emergent and Distributed Systems - Network and parallel computing
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The use of handheld devices to access the World Wide Web has been increased significantly in recent years. It is time consuming to seek information when desktop-oriented webpages that contain tons of information are squeezed to be displayed on a handheld device. Therefore, presenting useful information in an efficient and effective way on pocket-sized mobile devices is very significant especially in the coming outbreak of mobile Internet era. We propose a content model to represent the relationships between semantic elements on webpages. From the model we generate different adaptations for people with different needs. Our objective is to discover author's intention of webpages by analyzing the relationships of semantic elements on webpages and to provide various adaptations for efficient and effective Web browsing and information seeking on pocket-sized mobile devices. Experiments show that the adapted versions improve efficiency and effectiveness for information seeking on pocket-sized mobile devices in general.