Adapting Content Delivery to Limited Resources and Inferred User Interest
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 p...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2008-01-01
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| Series: | International Journal of Digital Multimedia Broadcasting |
| Online Access: | http://dx.doi.org/10.1155/2008/171385 |
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| Summary: | 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. |
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| ISSN: | 1687-7578 1687-7586 |