Preference-driven personalization for flexible digital item adaptation |
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Authors: | Benjamin?K?hncke Email author" target="_blank">Wolf-Tilo?BalkeEmail author |
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Affiliation: | (1) L3S Research Center at University of Hannover, Hannover, Germany |
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Abstract: | The delivery of multimedia content often needs the adaptation of the content in order to satisfy user constraints. With the
Digital Item Adaptation part, the MPEG-21 standard already defines a useful frame-work to handle this task. However, in modern
service-oriented architectures the functionality of adaptation is split over several services. Hence, the central instantiation
of a suitable service chain needs to tackle a complex multi-objective optimization problem. In this problem between content
choice and possible adaptations the current preference model in the MPEG-7/21 standard still lacks expressiveness. In the
course of this paper we demonstrate this shortcoming and how the integration of more powerful models can ease the instantiation
problem. Furthermore we explain how to efficiently evaluate preference trade-offs by evaluating skyline queries as currently
investigated in the field of information systems. As a running example we use preference-based content adaptation in a typical
media streaming application with Web services as basic modules. The contribution of our framework is to enable a central coordinator
to instantiate an executable service composition chain by integrating all needed Web services to adapt the multimedia content
in the best possible fashion in the sense of Pareto optimality.
This work was supported in part by the German Research Foundation (DFG) within the Emmy-Noether Program of Exellence. |
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Keywords: | Multimedia systems Digital item adaptation Personalization Skyline queries Preference modeling |
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