Using clustering techniques to detect usage patterns in a Web-based information system
Journal of the American Society for Information Science and Technology
Collecting Feedback during Software Engineering Experiments
Empirical Software Engineering
Understanding user behavior in large-scale video-on-demand systems
Proceedings of the 1st ACM SIGOPS/EuroSys European Conference on Computer Systems 2006
Identifying clusters of user behavior in intranet search engine log files
Journal of the American Society for Information Science and Technology
Personalized application enablement by web session analysis and multisource user profiling
Bell Labs Technical Journal - General Papers
A Measurement Study of a Large-Scale P2P IPTV System
IEEE Transactions on Multimedia
Reconstructing experiences with iScale
International Journal of Human-Computer Studies
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The rapidly increasing importance of multimedia services delivered over telecommunication networks has heightened the need for technologies that adapt efficiently to users' needs. It is of particular interest to understand users of such services. This paper proposes a unified approach to modelling users' behaviour and experiences in the context of new multimedia services. Static information on users' behaviour is integrated with users' real-time feedback about their experiences. A unified user profile is used for implementation of a media-aware, user-dependent, self-adaptive network resource manager. Our first experience shows that such a unified approach might be beneficial for network and service providers. The tool for gathering real-time user experience, we propose, might also be useful in other contexts, such as personalised content recommender systems.