Recommendation as classification: using social and content-based information in recommendation
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
A personalized television listings service
Communications of the ACM
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
Personalized Digital Television: Targeting Programs to Individual Viewers (Human-Computer Interaction Series, 6)
Usage patterns of collaborative tagging systems
Journal of Information Science
Web Page Recommender System based on Folksonomy Mining for ITNG '06 Submissions
ITNG '06 Proceedings of the Third International Conference on Information Technology: New Generations
Personalized and mobile digital TV applications
Multimedia Tools and Applications
Integrating Folksonomies with the Semantic Web
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
Receiver-side semantic reasoning for digital TV personalization in the absence of return channels
Multimedia Tools and Applications
A usability study on personalized EPG (pEPG) UI of digital TV
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
Information retrieval in folksonomies: search and ranking
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
AVATAR: an improved solution for personalized TV based on semantic inference
IEEE Transactions on Consumer Electronics
User-Configurable Personalized Mosaic Electronic Program Guide
IEEE Transactions on Consumer Electronics
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In this paper we introduce our experiences in applying the Web 2.0 philosophy to build a TV guide system for Interactive Digital TV (IDTV) platforms. Subscribers give their opinion about TV content and, informally, a folksonomy is progressively built. Based on this shared knowledge, the TV guide obtains personal recommendations and allows users to browse among the multimedia content. Additionally, and over this collaborative layer, a more formal vision enables applying semantic reasoning to supplement the knowledge informally inferred.