A framework of HTML content selection and adaptive delivery

Authors:
Chen Ding;Shutao Zhang;Chi-Hung Chi
Affiliations:
School of Computer Science, Ryerson University, Canada;School of Computing, National University of Singapore, Singapore;School of Software, Tsinghua University, Beijing, China
Venue:
WAIM'05 Proceedings of the 6th international conference on Advances in Web-Age Information Management
Year:
2005

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Abstract

In this paper, we propose a content selection and adaptive delivery framework to adapt content delivery to different client capabilities and preferences. The framework provides language support to content publishers with XML-based markup language to describe the content and control the transformation and delivery process. Automatic content classification and selective delivery based on match between content class and user capability or preference are also implemented. Thus, when content descriptions from server are not available, adaptive content delivery is still possible. The framework is generic and scalable. Performance studies on content classification and selection model show that it is effective in saving network resources and improving clients’ access experiences.