Developing a context-aware electronic tourist guide: some issues and experiences
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
AVATAR: an approach based on semantic reasoning to recommend personalized TV programs
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Using MPEG-7 and MPEG-21 for Personalizing Video
IEEE MultiMedia
Topic detection and tracking with spatio-temporal evidence
ECIR'03 Proceedings of the 25th European conference on IR research
| Hi-index | 0.00 |
With the increasing amount of digital multimedia content, the user is more and more overstrained. A promising solution for this problem is personalization that assists the user in selecting content with respect to the user's interest. Since the capabilities of mobile devices increased significantly in the recent years, the number of mobile multimedia services grows steadily. The mobile services are confronted with a much more changing environment than stationary services. This additional information enables even more precise personalization. This paper introduces an approach for context-aware personalization of mobile multimedia services. We developed a generic framework for application developers that can easily be configured and extended with application-specific algorithms matching content and context. In the proposed system, content selection is performed in a distributed way.