메뉴 건너뛰기




Volumn 3, Issue , 2012, Pages 2294-2302

Collaborative ranking with 17 parameters

Author keywords

[No Author keywords available]

Indexed keywords

HYPER-PARAMETER; RANKING METHODS;

EID: 84877765538     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (48)

References (24)
  • 1
    • 84877766199 scopus 로고    scopus 로고
    • The Yahoo! R1 dataset. http://webscope.sandbox.yahoo.com/catalog.php? datatype=r.
    • The Yahoo! R1 Dataset
  • 4
    • 33749567580 scopus 로고    scopus 로고
    • Empirical analysis of predictive algorithm for collaborative filtering
    • J. S. Breese, D. Heckerman, and C. Kadie. Empirical analysis of predictive algorithm for collaborative filtering. In UAI, 1998.
    • (1998) UAI
    • Breese, J.S.1    Heckerman, D.2    Kadie, C.3
  • 5
  • 6
    • 34547972220 scopus 로고    scopus 로고
    • Learning to rank with nonsmooth cost functions
    • C. J. C. Burges, R. Rango, and Q. V. Le. Learning to rank with nonsmooth cost functions. In NIPS, 2007.
    • (2007) NIPS
    • Burges, C.J.C.1    Rango, R.2    Le, Q.V.3
  • 8
    • 80052681745 scopus 로고    scopus 로고
    • Rank aggregation via nuclear norm minimization
    • D. F. Gleich and L.-H. Lim. Rank aggregation via nuclear norm minimization. In SIGKDD, 2011.
    • (2011) SIGKDD
    • Gleich, D.F.1    Lim, L.-H.2
  • 10
    • 3042829247 scopus 로고    scopus 로고
    • An empirical analysis of design choices in neighborhood-based collaborative filtering algorithms
    • J. Herlocker, J. A. Konstan, and J. Riedl. An empirical analysis of design choices in neighborhood-based collaborative filtering algorithms. Information Retrieval, 5(4), 2002.
    • (2002) Information Retrieval , vol.5 , Issue.4
    • Herlocker, J.1    Konstan, J.A.2    Riedl, J.3
  • 11
    • 3042742744 scopus 로고    scopus 로고
    • Latent semantic models for collaborative filtering
    • T. Hofmann. Latent semantic models for collaborative filtering. ACM Trans. Inf. Syst., 22(1), 2004.
    • (2004) ACM Trans. Inf. Syst. , vol.22 , Issue.1
    • Hofmann, T.1
  • 12
    • 0033645041 scopus 로고    scopus 로고
    • IR evaluation methods for retrieving highly relevant documents
    • K. Jarvelin and J. Kekalainen. IR evaluation methods for retrieving highly relevant documents. In SIGIR, 2000.
    • (2000) SIGIR
    • Jarvelin, K.1    Kekalainen, J.2
  • 15
    • 57349097660 scopus 로고    scopus 로고
    • Eigenrank: A ranking-oriented approach to collaborative filtering
    • N. Liu and Q. Yang. Eigenrank: A ranking-oriented approach to collaborative filtering. In SIGIR, 2008.
    • (2008) SIGIR
    • Liu, N.1    Yang, Q.2
  • 16
    • 70449504107 scopus 로고    scopus 로고
    • Modeling user rating profiles for collaborative filtering
    • B. Marlin. Modeling user rating profiles for collaborative filtering. In NIPS, 2003.
    • (2003) NIPS
    • Marlin, B.1
  • 19
    • 0001391984 scopus 로고    scopus 로고
    • Collaborative filtering by personality diagnosis: A hybrid memory and model-based approach
    • D. M. Pennock, E. Horvitz, S. Lawrence, and C. L. Giles. Collaborative filtering by personality diagnosis: A hybrid memory and model-based approach. In UAI, 2000.
    • (2000) UAI
    • Pennock, D.M.1    Horvitz, E.2    Lawrence, S.3    Giles, C.L.4
  • 20
    • 85030174634 scopus 로고
    • Grouplens: An open architecture for collaborative filtering of netnews
    • P. Resnick, N. Iacovou, M. Suchak, P. Bergstrom, and J. Riedl. Grouplens: An open architecture for collaborative filtering of netnews. In CSCW, 1994.
    • (1994) CSCW
    • Resnick, P.1    Iacovou, N.2    Suchak, M.3    Bergstrom, P.4    Riedl, J.5
  • 21
    • 85161989354 scopus 로고    scopus 로고
    • Probabilistic matrix factorization
    • R. Salakhutdinov and A. Mnih. Probabilistic matrix factorization. In NIPS, 2008.
    • (2008) NIPS
    • Salakhutdinov, R.1    Mnih, A.2
  • 22
    • 85052617391 scopus 로고    scopus 로고
    • Item-based collaborative filtering recommendation algorithms
    • B. Sarwar, G. Karypis, J. Konstan, and J. Riedl. Item-based collaborative filtering recommendation algorithms. In WWW, 2001.
    • (2001) WWW
    • Sarwar, B.1    Karypis, G.2    Konstan, J.3    Riedl, J.4
  • 23
    • 48349104603 scopus 로고    scopus 로고
    • CofiRank - Maximum margin matrix factorization for collaborative ranking
    • M. Weimer, A. Karatzoglou, Q. V. Le, and A. J. Smola. CofiRank - maximum margin matrix factorization for collaborative ranking. In NIPS, 2007.
    • (2007) NIPS
    • Weimer, M.1    Karatzoglou, A.2    Le, Q.V.3    Smola, A.J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.