메뉴 건너뛰기




Volumn , Issue , 2012, Pages 187-192

A people-to-people recommendation system using tensor space models

Author keywords

decomposition; people to people network; recommendation; tensor; tensor space model; two way relationship

Indexed keywords

DATA SETS; EMPIRICAL ANALYSIS; EXISTING RECOMMENDATION SYSTEMS; INFORMATION LOSS; INTER-RELATIONSHIPS; MULTIDIMENSIONAL DATA; NETWORK DATA; ONLINE DATING; RECOMMENDATION; RECOMMENDATION METHODS; SIMILARITY MEASURE; TENSOR MODEL; TENSOR MODELING; TENSOR SPACES; TWO DIMENSIONAL MODEL; TWO-WAY RELATIONSHIP; USER INTERACTION; VECTOR-BASED METHODS;

EID: 84863572604     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2245276.2245312     Document Type: Conference Paper
Times cited : (29)

References (15)
  • 1
    • 78650761572 scopus 로고    scopus 로고
    • Collaborative filtering for people to people recommendation in social networks
    • J. Li, editor, AAI, Springer Berlin / Heidelberg
    • X. Cai, M. Bain, A. Krzywicki, W. Wobcke, Y. Kim, P. Compton, and A. Mahidadia. Collaborative filtering for people to people recommendation in social networks. In J. Li, editor, AAI, volume 6464 of LNCS, pages 476-485. Springer Berlin / Heidelberg, 2011.
    • (2011) LNCS , vol.6464 , pp. 476-485
    • Cai, X.1    Bain, M.2    Krzywicki, A.3    Wobcke, W.4    Kim, Y.5    Compton, P.6    Mahidadia, A.7
  • 2
    • 79951766902 scopus 로고    scopus 로고
    • Learning collaborative filtering and its application to people to people recommendation in social networks
    • X. Cai, M. Bain, A. Krzywicki, W. Wobcke, Y. S. Kim, P. Compton, and A. Mahidadia. Learning collaborative filtering and its application to people to people recommendation in social networks. In ICDM'10, pages 743-748, 2010.
    • (2010) ICDM'10 , pp. 743-748
    • Cai, X.1    Bain, M.2    Krzywicki, A.3    Wobcke, W.4    Kim, Y.S.5    Compton, P.6    Mahidadia, A.7
  • 3
    • 57049095978 scopus 로고    scopus 로고
    • Unsupervised multiway data analysis: A literature survey
    • B, 1477470
    • A. Evrim, B, and Y. lent. Unsupervised multiway data analysis: A literature survey. IEEE TKDE, 21(1):6-20, 2009. 1477470.
    • (2009) IEEE TKDE , vol.21 , Issue.1 , pp. 6-20
    • Evrim, A.1    Lent, Y.2
  • 4
    • 78649941975 scopus 로고    scopus 로고
    • Multiverse recommendation: N-dimensional tensor factorization for context-aware collaborative filtering
    • NY, USA, ACM
    • A. Karatzoglou, X. Amatriain, L. Baltrunas, and N. Oliver. Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering. RecSys, pages 79-86, NY, USA, 2010. ACM.
    • (2010) RecSys , pp. 79-86
    • Karatzoglou, A.1    Amatriain, X.2    Baltrunas, L.3    Oliver, N.4
  • 5
    • 68649096448 scopus 로고    scopus 로고
    • Tensor decompositions and applications
    • T. G. Kolda and B. W. Bader. Tensor decompositions and applications. SIAM Review, 51(3):455-500, 2009.
    • (2009) SIAM Review , vol.51 , Issue.3 , pp. 455-500
    • Kolda, T.G.1    Bader, B.W.2
  • 6
    • 79957932371 scopus 로고    scopus 로고
    • Utilizing past relations and user similarities in a social matching system
    • R. Nayak. Utilizing past relations and user similarities in a social matching system. In PAKDD (2)'11, pages 99-110, 2011.
    • (2011) PAKDD (2)'11 , pp. 99-110
    • Nayak, R.1
  • 7
    • 70350663110 scopus 로고    scopus 로고
    • Learning optimal ranking with tensor factorization for tag recommendation
    • NY, USA, ACM
    • S. Rendle, L. Balby Marinho, A. Nanopoulos, and S.-T. Lars. Learning optimal ranking with tensor factorization for tag recommendation. In KDD, pages 727-736, NY, USA, 2009. ACM.
    • (2009) KDD , pp. 727-736
    • Rendle, S.1    Balby Marinho, L.2    Nanopoulos, A.3    Lars, S.-T.4
  • 8
    • 77950902603 scopus 로고    scopus 로고
    • Pairwise interaction tensor factorization for personalized tag recommendation
    • NY, USA, ACM
    • S. Rendle and S.-T. Lars. Pairwise interaction tensor factorization for personalized tag recommendation. In WSDM, pages 81-90, NY, USA, 2010. ACM.
    • (2010) WSDM , pp. 81-90
    • Rendle, S.1    Lars, S.-T.2
  • 9
    • 85052617391 scopus 로고    scopus 로고
    • Item-based collaborative filtering recommendation algorithms
    • NY, USA, ACM
    • B. Sarwar, G. Karypis, J. Konstan, and J. Reidl. Item-based collaborative filtering recommendation algorithms. In WWW, pages 285-295, NY, USA, 2001. ACM.
    • (2001) WWW , pp. 285-295
    • Sarwar, B.1    Karypis, G.2    Konstan, J.3    Reidl, J.4
  • 11
    • 77954418047 scopus 로고    scopus 로고
    • A survey of collaborative filtering techniques
    • January 2009
    • X. Su and T. M. Khoshgoftaar. A survey of collaborative filtering techniques. Adv. in AI, 2009:4:2-4:2, January 2009.
    • (2009) Adv. in AI
    • Su, X.1    Khoshgoftaar, T.M.2
  • 12
    • 63749113841 scopus 로고    scopus 로고
    • Tag recommendations based on tensor dimensionality reduction
    • NY, USA, ACM
    • P. Symeonidis, A. Nanopoulos, and Y. Manolopoulos. Tag recommendations based on tensor dimensionality reduction. RecSys, pages 43-50, NY, USA, 2008. ACM.
    • (2008) RecSys , pp. 43-50
    • Symeonidis, P.1    Nanopoulos, A.2    Manolopoulos, Y.3
  • 13
    • 77956776436 scopus 로고    scopus 로고
    • Ternary semantic analysis of social tags for personalized music recommendation
    • P. Symeonidis, M. M. Ruxanda, A. Nanopoulos, and Y. Manolopoulos. Ternary semantic analysis of social tags for personalized music recommendation. In ISMIR'08, pages 219-224, 2008.
    • (2008) ISMIR'08 , pp. 219-224
    • Symeonidis, P.1    Ruxanda, M.M.2    Nanopoulos, A.3    Manolopoulos, Y.4
  • 14
    • 79951751250 scopus 로고    scopus 로고
    • MACH: Fast Randomized Tensor Decompositions
    • Columbus,Ohio, USA
    • C. E. Tsourakakis. MACH: Fast Randomized Tensor Decompositions. In The SIAM Data Mining Conference (SDM 2010), pages 689-700, Columbus,Ohio, USA, 2010.
    • (2010) The SIAM Data Mining Conference (SDM 2010) , pp. 689-700
    • Tsourakakis, C.E.1
  • 15
    • 78650163941 scopus 로고    scopus 로고
    • Which photo groups should i choose? A comparative study of recommendation algorithms in flickr
    • N. Zheng, Q. Li, S. Liao, and L. Zhang. Which photo groups should i choose? a comparative study of recommendation algorithms in flickr. Journal of Information Science, 36(6):733-750, 2010.
    • (2010) Journal of Information Science , vol.36 , Issue.6 , pp. 733-750
    • Zheng, N.1    Li, Q.2    Liao, S.3    Zhang, L.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.