An adaptive preference learning method for future personalized TV

2005 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS'05: Modeling, Exploration, and Engineering

Volumn 2005, Issue , 2005, Pages 260-264

  Shi, Xiaowei ^a   Hua, Jin ^a  

^a Philips East Asian Research Center   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SYSTEMS; COMPUTER SIMULATION; FEEDBACK; LEARNING SYSTEMS; METADATA; PROGRAM PROCESSORS;

EXPLICIT FEEDBACK; IMPLICIT FEEDBACK; LEARNING METHOD; PERSONALIZED TELEVISION;

TELEVISION;

EID: 33745259304     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/KIMAS.2005.1427091     Document Type: Conference Paper

References (7)

1. TV-Anytime Environment Requirements Document, TV035r6, TV-Anytime Forum, Aug. 2000, http://www.tv-anytime.org
2. Kaushal Kurapati, Srinivas Gutta, "A Multi-Agent TV Recommender". http://www.di.unito.it/liliana/UM01/kurapati.pdf, 2001
3. Belkin, N.J. "Information filtering and information retrieval: two sides of the same coin". Communications of the ACM, 1994
4. P. W. Foltz. "Personalized information delivery: An analysis of information filtering methods". Communications of the ACM, 1992
5. nd workshop on personalization in future TV.Malaga, May 2002
6. Masthoff J. "Modeling a group of television viewers", Proceedings of Future TV, 2002
7. T. Bray, J. Paoli, C. M. Sperberg-McQueen. "Extensible Markup Language (XML) 1.0". http://www.w3.org/TR/REC-xml, Oct. 2000.