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International Journal of Digital Multimedia Broadcasting
Volume 2008 (2008), Article ID 171385, 13 pages
Research Article

Adapting Content Delivery to Limited Resources and Inferred User Interest

1Computer Science Department, Military Technical Academy, 050141 Bucharest, Romania
2Computer Science Department, National Polytechnic Institute of Toulouse, 31071 Toulouse, France

Received 3 March 2008; Accepted 1 July 2008

Academic Editor: Harald Kosch

Copyright © 2008 Cezar Plesca et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper discusses adaptation policies for information systems that are subject to dynamic and stochastic contexts such as mobile access to multimedia web sites. In our approach, adaptation agents apply sequential decisional policies under uncertainty. We focus on the modeling of such decisional processes depending on whether the context is fully or partially observable. Our case study is a movie browsing service in a mobile environment that we model by using Markov decision processes (MDPs) and partially observable MDP (POMDP). We derive adaptation policies for this service, that take into account the limited resources such as the network bandwidth. We further refine these policies according to the partially observable users' interest level estimated from implicit feedback. Our theoretical models are validated through numerous simulations.