Deploying personalized mobile services in an agent-based environment
Expert Systems with Applications: An International Journal
Personalized video adaptation based on video content analysis
Proceedings of the 9th International Workshop on Multimedia Data Mining: held in conjunction with the ACM SIGKDD 2008
A smart TV system with body-gesture control, tag-based rating and context-aware recommendation
Knowledge-Based Systems
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The available TV programs within the increasing digital channels have led to the problem of information overload. To solve this problem, we propose a user-centered control system to provide personalized and automated channel selection services. This system has a client-server architecture. The mobile client is a remote control device for interacting with TV and any information modified ubiquitously through the mobile device is sent to the service server for further processing. A wireless environment is developed to access the proposed approach, in which a user can interact with the multimedia broadcasting system with his personal hand-held device. The experimental results show that the system can efficiently learn a user's interests and perform sensible channel selection. Also the system is able to continuously collect a user's feedback and learn his most up-to-date preferences to ensure the quality of service.