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Volumn , Issue , 2005, Pages 1078-1079

AVATAR: An approach based on semantic reasoning to recommend personalized TV programs

Author keywords

Inference of semantic relations; Ontologies; Semantic web; TV recommender system

Indexed keywords

APPLICATION DOMAINS; AUDIO-VISUAL CONTENT; END USERS; META INFORMATION; ONTOLOGIES SEMANTIC WEB; OWL ONTOLOGIES; PERSONAL PROFILE; PERSONALIZATIONS; PERSONALIZED TV; SEMANTIC REASONING; SEMANTIC RELATIONS; SYSTEM KNOWLEDGE; TELEMATICS; TOOL USE; TV PROGRAMS; TV RECOMMENDER SYSTEM; USER PROFILE;

EID: 37149026958     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1062745.1062877     Document Type: Conference Paper
Times cited : (12)

References (2)
  • 2
    • 33750368569 scopus 로고    scopus 로고
    • AVATAR: An advanced Multi-Agent Recommender System of Personalized TV Contents by Semantic Reasoning
    • Proceedings of 5th International Conference on Web Information Systems Engineering, Springer-Verlag
    • Y. Blanco, J. J. Pazos, A. Gil, M. Ramos, A. Fernández, R. P. Díaz, M. López and B. Barragáns. AVATAR: An advanced Multi-Agent Recommender System of Personalized TV Contents by Semantic Reasoning. In Proceedings of 5th International Conference on Web Information Systems Engineering, volume 3306 of Lectures Notes in Computer Science, pages 415-421. Springer-Verlag, 2004.
    • (2004) Lectures Notes in Computer Science , vol.3306 , pp. 415-421
    • Blanco, Y.1    Pazos, J.J.2    Gil, A.3    Ramos, M.4    Fernández, A.5    Díaz, R.P.6    López, M.7    Barragáns, B.8


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.