302 Germanakos & Mourlas Copyright 2006, Idea
302 Germanakos & Mourlas Copyright 2006, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. processing parameters) should be in combination investigated and analyzed in a further attempt to complete the desktop and mobile users preferences. This chapter made an extensive reference to the mobility emergence and the extensive use of the new channels that tend to satisfy the new user requirements (desktop and mobile) for anytime, anyhow, and anywhere multimedia-based services and Webbased multimedia content provision in general. The problem of personalization as well as challenges created has been investigated supporting the view of why the provision of adapted content, based on a comprehensive user profile, is considered critical nowadays. Moreover, an Adaptation (Adaptive Hypermedia) and Personalization (Web Personalization) categories and paradigms review has been presented identifying common grounds and objectives of these two areas. Eventually, a three-layer architecture for the adaptation and personalization of Web-based multimedia content was reviewed, making use of the aforementioned adaptation and personalization concepts and technologies, the new user profiling (that incorporates the user perceptual preference characteristics), as well as the semantic multimedia content.. The basic objective of this chapter was to introduce a combination of concepts coming from different research areas, all of which focus upon the user. It has been attempted to approach the theoretical considerations and technological parameters that can provide the most comprehensive user profiling, supporting the provision of the most apt and optimized adapted and personalized multimedia result. References Adomavicious, G., & Tuzhilin, A. (1999). User profiling in personalization applications through rule discovery and validation. Proceedings of the ACM Fifth International Conference on Data Mining and Knowledge Discovery (KDD 99) (pp. 377- 381). Ayersman, D. J., & Reed, W. M. (1998). Relationships among hypermedia-based mental models and hypermedia knowledge. Journal of Research on Computing in Education, 30(3), 222-238. Brusilovsky, P. (1996). Adaptive hypermedia: An attempt to analyze and generalize. In P. Brusilovsky, P. Kommers, & Streitz (Eds.), Multimedia, hypermedia, and virtual reality (pp. 288-304). Berlin: Springer-Verlag. Brusilovsky, P. (1996). Methods and techniques of adaptive hypermedia. User Modeling and User Adapted Interaction, 6(2-3), 87-129. Brusilovsky, P. (2001). Adaptive hypermedia. User Modeling and User-Adapted Interaction, 11, 87-110. Brusilovsky, P., & Maybury, M. T. (2002). From adaptive hypermedia to the adaptive Web. In P. Brusilovsky & M. T. Maybury (Eds.), Communications of the ACM, 45(5), Special Issue on the Adaptive Web, 31-33. CAP Gemini Ernst & Young. (2004). Online availability of public services: How is Europe progressing? European Commission DG Information Society.
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