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Volumn SS-10-07, Issue , 2010, Pages 76-81

Using linked data to build open, collaborative recommender systems

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA ACQUISITION; DATA HANDLING; OPEN DATA; RECOMMENDER SYSTEMS; USER EXPERIENCE;

EID: 77957958713     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (109)

References (20)
  • 1
    • 20844435854 scopus 로고    scopus 로고
    • Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
    • Adomavicius, G., and Tuzhilin, A. 2005. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering 17(6):734-749.
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.6 , pp. 734-749
    • Adomavicius, G.1    Tuzhilin, A.2
  • 2
    • 0031103679 scopus 로고    scopus 로고
    • Fab: Content-based, collaborative recommendation
    • Balabanovic, M., and Shoham, Y. 1997. Fab: Content-Based, Collaborative Recommendation. Communications of the ACM 40(3):67.
    • (1997) Communications of the ACM , vol.40 , Issue.3 , pp. 67
    • Balabanovic, M.1    Shoham, Y.2
  • 3
    • 37249090723 scopus 로고    scopus 로고
    • Cross-domain mediation in collaborative filtering
    • Springer-Verlag Berlin, Heidelberg
    • Berkovsky, S.; Kuflik, T.; and Ricci, F. 2007. Cross-Domain Mediation in Collaborative Filtering. In International Conference on User Modeling, 355-359. Springer-Verlag Berlin, Heidelberg.
    • (2007) International Conference on User Modeling , pp. 355-359
    • Berkovsky, S.1    Kuflik, T.2    Ricci, F.3
  • 6
    • 0036959356 scopus 로고    scopus 로고
    • Hybrid recommender systems: Survey and experiments
    • Burke, R. 2002. Hybrid recommender systems: Survey and experiments. User Modeling and User-Adapted Interaction 12(4):331-370.
    • (2002) User Modeling and User-Adapted Interaction , vol.12 , Issue.4 , pp. 331-370
    • Burke, R.1
  • 13
    • 0037252945 scopus 로고    scopus 로고
    • Amazon.com recommendations: Item-to-item collaborative filtering
    • Linden, G.; Smith, B.; and York, J. 2003. Amazon.com recommendations: Item-to-item collaborative filtering. IEEE Internet computing 7(1):76-80.
    • (2003) IEEE Internet Computing , vol.7 , Issue.1 , pp. 76-80
    • Linden, G.1    Smith, B.2    York, J.3
  • 15
    • 77957955656 scopus 로고    scopus 로고
    • Combining social music and semantic web for music-related recommender systems
    • Passant, A., and Raimond, Y. 2008. Combining Social Music and Semantic Web for music-related recommender systems. In Social Data on the Web Workshop.
    • (2008) Social Data on the Web Workshop
    • Passant, A.1    Raimond, Y.2
  • 17
    • 68349158858 scopus 로고    scopus 로고
    • Interlinking music-related data on the web
    • Raimond, Y; Sutton, C.; and Sandler, M. 2009. Interlinking music-related data on the web. IEEE Multimedia 16(2):52-63.
    • (2009) IEEE Multimedia , vol.16 , Issue.2 , pp. 52-63
    • Raimond, Y.1    Sutton, C.2    Sandler, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.