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Volumn , Issue , 2012, Pages 253-256

Exploiting the web of data in model-based recommender systems

Author keywords

DBpedia; Linked data; Linked MDB; Model based RSs; Movielens; Precision; Recall; Semantic web; SVM

Indexed keywords

DBPEDIA; LINKED DATUM; LINKED- MDB; MOVIELENS; PRECISION; RECALL; SVM;

EID: 84867364720     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2365952.2366007     Document Type: Conference Paper
Times cited : (65)

References (14)
  • 2
    • 85046448768 scopus 로고    scopus 로고
    • Linked data: Evolving the web into a global data space
    • Morgan & Claypool Publishers
    • T. Heath and C. Bizer. Linked Data: Evolving the Web into a Global Data Space. Synthesis Lectures on the Semantic Web. Morgan & Claypool Publishers, 2011.
    • (2011) Synthesis Lectures on the Semantic Web
    • Heath, T.1    Bizer, C.2
  • 4
    • 84957069814 scopus 로고    scopus 로고
    • Text categorization with support Vector Machines: Learning with many Relevant Features
    • Machine Learning: ECML-98
    • T. Joachims. Text categorization with support vector machines: learning with many relevant features. In Proc. of 10th ECML-98, pages 137-142, 1998. (Pubitemid 128067178)
    • (1998) Lecture Notes in Computer Science , Issue.1398 , pp. 137-142
    • Joachims, T.1
  • 6
    • 80052881372 scopus 로고    scopus 로고
    • Content-based recommender systems: State of the art and trends
    • P. Lops, M. Gemmis, and G. Semeraro. Content-based recommender systems: State of the art and trends. In Recommender Systems Handbook, pages 73-105. 2011.
    • (2011) Recommender Systems Handbook , pp. 73-105
    • Lops, P.1    Gemmis, M.2    Semeraro, G.3
  • 11
    • 84865653318 scopus 로고    scopus 로고
    • Tagommenders: Connecting users to items through tags
    • S. Sen, J. Vig, and J. Riedl. Tagommenders: connecting users to items through tags. In Proc. of 18th WWW, WWW '09, pages 671-680, 2009.
    • (2009) Proc. of 18th WWW, WWW '09 , pp. 671-680
    • Sen, S.1    Vig, J.2    Riedl, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.