WordNet: a lexical database for English
Communications of the ACM
Fab: content-based, collaborative recommendation
Communications of the ACM
Building a question answering test collection
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Learning Collaborative Information Filters
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
PTV: Intelligent Personalised TV Guides
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
A Personalized Restaurant Recommender Agent for Mobile E-Service
EEE '04 Proceedings of the 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'04)
An ontology of time for the semantic web
ACM Transactions on Asian Language Information Processing (TALIP) - Special Issue on Temporal Information Processing
Dynamically-optimized context in recommender systems
Proceedings of the 6th international conference on Mobile data management
Context-aware, Ontology-based Recommendations
SAINT-W '06 Proceedings of the International Symposium on Applications on Internet Workshops
Deriving Ratings Through Social Network Structures
ARES '06 Proceedings of the First International Conference on Availability, Reliability and Security
Personalized and mobile digital TV applications
Multimedia Tools and Applications
Utilizing Physical and Social Context to Improve Recommender Systems
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
Adaptive web sites: an AI challenge
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
SenSee framework for personalized access to TV content
EuroITV'07 Proceedings of the 5th European conference on Interactive TV: a shared experience
The adaptive web: methods and strategies of web personalization
The adaptive web: methods and strategies of web personalization
Context information exchange and sharing in a peer-to-peer community: a video annotation scenario
Proceedings of the 27th ACM international conference on Design of communication
The Evolution of TV Systems, Content, and Users Toward Interactivity
Foundations and Trends in Human-Computer Interaction
Social TV: toward content navigation using social awareness
Proceedings of the 8th international interactive conference on Interactive TV&Video
Social TV: The impact of social awareness on content navigation within IPTV systems
Computers in Entertainment (CIE) - Theoretical and Practical Computer Applications in Entertainment
Catch-up TV recommendations: show old favourites and find new ones
Proceedings of the 7th ACM conference on Recommender systems
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With the rising integration of more and more online data sets with various hardware platforms, such as set-top boxes, mobile phones, it becomes increasingly crucial to have intelligent systems guiding the user through the maze of data. A necessity in such systems is a comprehensive user model which allows the system to know how and what the user might expect. In iFanzy, a context-sensitive personalized TV guide, we amass such a user model by monitoring the user's actions and behavior and extensively making use of Semantic Web techniques to interpret these activities and offer in the right moment the right content to the user. We focus on solving the 'cold start' problem by importing user data from external to iFanzy online applications. This is realized by exploiting background ontological knowledge to map the imported concepts, so that iFanzy can minimize the effort in accumulating a complete user model.