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. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Ding, C., Zhang, S., & Chi, C. H. (2005). A framework of HTML content selection and adaptive delivery. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3739 LNCS, pp. 257–266). Springer Verlag. https://doi.org/10.1007/11563952_23
Mendeley helps you to discover research relevant for your work.