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Volumn , Issue , 2009, Pages 389-392

View-based recommender systems

Author keywords

Collaborative filtering; Item views; Recommender systems; User modeling

Indexed keywords

COLLABORATIVE FILTERING; COLLABORATIVE TECHNOLOGIES; COMPLEX MODEL; CONSUMPTION PATTERNS; INTERACTION INFORMATION; PREFERENCE PATTERN; RATING INFORMATION; RECOMMENDER SYSTEMS; USER MODELING; VIEW-BASED; VIEW-BASED APPROACH;

EID: 72249111524     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1639714.1639795     Document Type: Conference Paper
Times cited : (4)

References (6)
  • 2
    • 13844254250 scopus 로고    scopus 로고
    • Incorporating contextual information in recommender systems using a multidimensional approach
    • G. Adomavicius, R. Sankaranarayanan, S. Sen, and A. Tuzhilin. Incorporating contextual information in recommender systems using a multidimensional approach. ACM Trans. Inf. Syst., 23(1):103-145, 2005.
    • (2005) ACM Trans. Inf. Syst , vol.23 , Issue.1 , pp. 103-145
    • Adomavicius, G.1    Sankaranarayanan, R.2    Sen, S.3    Tuzhilin, A.4
  • 3
    • 20844435854 scopus 로고    scopus 로고
    • Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
    • G. Adomavicius and A. Tuzhilin. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Trans. on Knowl. and Data Eng., 17(6):734-749, 2005.
    • (2005) IEEE Trans. on Knowl. and Data Eng , vol.17 , Issue.6 , pp. 734-749
    • Adomavicius, G.1    Tuzhilin, A.2
  • 4
    • 35348870573 scopus 로고    scopus 로고
    • A comparison of collaborative-filtering recommendation algorithms for e-commerce
    • Sep/Oct
    • Z. Huang, D. Zeng, and H. Chen. A comparison of collaborative-filtering recommendation algorithms for e-commerce. IEEE Intelligent Systems, 22(5):68-78, Sep/Oct 2007.
    • (2007) IEEE Intelligent Systems , vol.22 , Issue.5 , pp. 68-78
    • Huang, Z.1    Zeng, D.2    Chen, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.