Semantic modelling using TV-anytime genre metadata

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4471 LNCS, Issue , 2007, Pages 226-234

  Butkus, Andrius ^a   Petersen, Michael ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

Item similarity; Personalization; TV anytime; User modeling

Indexed keywords

INTERNET PROTOCOLS; MATHEMATICAL MODELS; METADATA; MOBILE DEVICES; TELEVISION BROADCASTING;

DVB-H MOBILE DIGITAL BROADCAST; HANDHELD DEVICES; USER MODELING;

SEMANTIC WEB;

EID: 37149038680     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-72559-6_24     Document Type: Conference Paper

References (9)

1. DVB-H Mobile TV Implementation Guidelines: Nokia Profile of the Electronic Service Guide Datamodel for IP datacast over DVB, Release 1.5 (2006)
2. ETSI TS 102 822-3-1: "TV-Anytime; Part 3: Metadata; 1 Sub-part 1: Part 1 - Metadata schemas" (2006)
3. Salter and Antonopoulos: "CinemaScreen Recommender Agent: Combining Collaborative and Content-Based Filtering" vol.21 Issue 1 pp 35-41, IEEE Intelligent Systems, 2006
4. Wilson, Smyth & O'Sullivan: "Sparsity reduction in collaborative recommendation: A case-based approach", International Journal of Pattern Recognition, Vol.17, No.5, 2003
5. Akkermans, Aroyo and Bellekens: "iFanzy: Personalised filtering using semantically enriched TV-Anytime content", proceedings of ESWC, 2006
6. Pogacnik, Tasic, Meza and Kosir: "Personal content recommender based on a hierarchical user model for the selection of TV programmes" Vol.15, Issue 5, p.425-457 User Modeling and User-Adapted interaction, 2005
7. BBC Feeds & APIs, http://backstage.bbc.co.uk
8. Shannon: "Mathematical Theory of Communication", Bell System Technical Journal, vol.27, p.379-423, 623-653, July, October, 1948
9. Sung Ho Ha: "Digital content recommender on the internet", vol. 21 Issue 2 p.70-77, IEEE Intelligent Systems, 2006