A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Recommending and evaluating choices in a virtual community of use
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Recommender systems in e-commerce
Proceedings of the 1st ACM conference on Electronic commerce
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
MovieLens unplugged: experiences with an occasionally connected recommender system
Proceedings of the 8th international conference on Intelligent user interfaces
A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem
Information Sciences: an International Journal
Mobile Telephones: Networks, Applications, and Performance
Mobile Telephones: Networks, Applications, and Performance
iTVP: platform for digital audio and video delivery over broadband IP networks
Proceedings of the 18th International Workshop on Network and Operating Systems Support for Digital Audio and Video
Receiver-side semantic reasoning for digital TV personalization in the absence of return channels
Multimedia Tools and Applications
Content and context for mobile television: Integrating trial, expert and user findings
Telematics and Informatics
A hybrid of sequential rules and collaborative filtering for product recommendation
Information Sciences: an International Journal
AVATAR: an improved solution for personalized TV based on semantic inference
IEEE Transactions on Consumer Electronics
TV program recommendation for groups based on muldimensional TV-anytime classifications
IEEE Transactions on Consumer Electronics
An adaptive approach to dealing with unstable behaviour of users in collaborative filtering systems
Journal of Information Science
On-line dynamic adaptation of fuzzy preferences
Information Sciences: an International Journal
Dynamic adaptation of numerical attributes in a user profile
Applied Intelligence
Automatic preference learning on numeric and multi-valued categorical attributes
Knowledge-Based Systems
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The increasing success of mobile-TV (m-TV) is changing the habits and customs in TV consumption which now extends to parts of the day when viewers are not at home and, mainly, within short intervals between other daily activities. Since much m-TV consumption will be in spare time, offering the users contents they are interested in becomes extremely important to provide an attractive service which does not discourage potential users. Using DVB-H as transport infrastructure, in this paper we introduce a personalization architecture which perfectly fits in with the value chain of m-TV. By applying semantic models and techniques, personalized virtual channels are dynamically constructed by adequately combining several kinds of contents according to the user's interests. While the personalization architecture is particularized, in this paper, to provide news channels, it could be easily generalized to other fields.