메뉴 건너뛰기




Volumn , Issue , 2012, Pages 501-510

Response aware model-based collaborative filtering

Author keywords

[No Author keywords available]

Indexed keywords

INTERPRETABILITY; MATRIX FACTORIZATIONS; MODEL PERFORMANCE; PROBABILISTIC MATRIX FACTORIZATIONS; RESPONSE MODEL; RESPONSE PATTERNS;

EID: 84886016007     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (13)

References (32)
  • 1
    • 33749567580 scopus 로고    scopus 로고
    • Empirical analysis of predictive algorithms for collaborative filtering
    • John S. Breese, David Heckerman, and Carl Myers Kadie
    • John S. Breese, David Heckerman, and Carl Myers Kadie. Empirical analysis of predictive algorithms for collaborative filtering. In UAI, pages 43-52, 1998.
    • (1998) UAI , pp. 43-52
  • 2
    • 85167399956 scopus 로고    scopus 로고
    • Fused matrix factorization with geographical and social influence in location-based social networks
    • Toronto, Canada
    • Chen Cheng, Haiqin Yang, Irwin King, and Michael R. Lyu. Fused matrix factorization with geographical and social influence in location-based social networks. In AAAI, Toronto, Canada, 2012.
    • (2012) AAAI
    • Cheng, C.1    Yang, H.2    King, I.3    Lyu, M.R.4
  • 3
    • 3042821101 scopus 로고    scopus 로고
    • Item-based top-n recommendation algorithms
    • Januar
    • Mukund Deshpande and George Karypis. Item-based top-n recommendation algorithms. ACM Trans. Inf. Syst., 22:143-177, January 2004.
    • (2004) ACM Trans. Inf. Syst. , vol.22 , pp. 143-177
    • Deshpande, M.1    Karypis, G.2
  • 4
    • 85015559680 scopus 로고    scopus 로고
    • An algorithmic framework for performing collaborative filtering
    • Jonathan L. Herlocker, Joseph A. Konstan, Al Borchers, and John Riedl. An algorithmic framework for performing collaborative filtering. In SIGIR, pages 230-237, 1999.
    • (1999) SIGIR , pp. 230-237
    • Herlocker, J.L.1    Konstan, J.A.2    Borchers, A.3    Riedl, J.4
  • 5
    • 3042742744 scopus 로고    scopus 로고
    • Latent semantic models for collaborative filtering
    • Januar
    • Thomas Hofmann. Latent semantic models for collaborative filtering. ACM Trans. Inf. Syst., 22:89-115, January 2004.
    • (2004) ACM Trans. Inf. Syst , vol.22 , pp. 89-115
    • Hofmann, T.1
  • 6
    • 67049164166 scopus 로고    scopus 로고
    • Collaborative filtering for implicit feedback datasets
    • Yifan Hu, Yehuda Koren, and Chris Volinsky. Collaborative filtering for implicit feedback datasets. In ICDM, pages 263-272, 2008.
    • (2008) ICDM , pp. 263-272
    • Hu, Y.1    Koren, Y.2    Volinsky, C.3
  • 7
    • 29244479602 scopus 로고    scopus 로고
    • Preferencebased graphic models for collaborative filtering
    • Rong Jin, Luo Si, and ChengXiang Zhai. Preferencebased graphic models for collaborative filtering. In UAI, pages 329-336, 2003.
    • (2003) UAI , pp. 329-336
    • Jin, R.1    Si, L.2    Zhai, C.X.3
  • 8
    • 65449121157 scopus 로고    scopus 로고
    • Factorization meets the neighborhood: A multifaceted collaborative filtering model
    • New York, NY, USA,. ACM
    • Yehuda Koren. Factorization meets the neighborhood: a multifaceted collaborative filtering model. In KDD, pages 426-434, New York, NY, USA, 2008. ACM.
    • (2008) KDD , pp. 426-434
    • Koren, Y.1
  • 9
    • 77950364314 scopus 로고    scopus 로고
    • Collaborative filtering with temporal dynamics
    • Yehuda Koren. Collaborative filtering with temporal dynamics. Commun. ACM, 53(4):89-97, 2010.
    • (2010) Commun. ACM , vol.53 , Issue.4 , pp. 89-97
    • Koren, Y.1
  • 10
    • 78651310397 scopus 로고    scopus 로고
    • Improving one-class collaborative filtering by incorporating rich user information
    • Yanen Li, Jia Hu, ChengXiang Zhai, and Ye Chen. Improving one-class collaborative filtering by incorporating rich user information. In CIKM, pages 959-968, 2010.
    • (2010) CIKM , pp. 959-968
    • Li, Y.1    Hu, J.2    Zhai, C.X.3    Chen, Y.4
  • 11
    • 0037252945 scopus 로고    scopus 로고
    • Amazon com recommendations: Item-to-item collaborative filtering
    • Januar
    • Greg Linden, Brent Smith, and Jeremy York. Amazon. com recommendations: Item-to-item collaborative filtering. IEEE Internet Computing, 7:76-80, January 2003.
    • (2003) IEEE Internet Computing , vol.7 , pp. 76-80
    • Linden, G.1    Smith, B.2    York, J.3
  • 12
    • 84886028729 scopus 로고    scopus 로고
    • Online learning for collaborative filtering
    • Brisbane, Australia
    • Guang Ling, Haiqin Yang, Irwin King, and Michael R. Lyu. Online learning for collaborative filtering. In WCCI, Brisbane, Australia, 2012.
    • (2012) WCCI
    • Ling, G.1    Yang, H.2    King, I.3    Lyu, M.R.4
  • 14
    • 79952399179 scopus 로고    scopus 로고
    • Recommender systems with social regularization
    • Hao Ma, Dengyong Zhou, Chao Liu, Michael R. Lyu, and Irwin King. Recommender systems with social regularization. In WSDM, pages 287-296, 2011.
    • (2011) WSDM , pp. 287-296
    • Ma, H.1    Zhou, D.2    Liu, C.3    Lyu, M.R.4    King, I.5
  • 15
    • 72249101936 scopus 로고    scopus 로고
    • Collaborative prediction and ranking with non-random missing data
    • Benjamin M. Marlin and Richard S. Zemel. Collaborative prediction and ranking with non-random missing data. In RecSys, pages 5-12, 2009.
    • (2009) RecSys , pp. 5-12
    • Marlin, B.M.1    Zemel, R.S.2
  • 16
    • 58149183811 scopus 로고    scopus 로고
    • Collaborative filtering and the missing at random assumption
    • Benjamin M. Marlin, Richard S. Zemel, Sam T. Roweis, and Malcolm Slaney. Collaborative filtering and the missing at random assumption. In UAI, pages 267-275, 2007.
    • (2007) UAI , pp. 267-275
    • Marlin, B.M.1    Zemel, R.S.2    Roweis, S.T.3    Slaney, M.4
  • 17
    • 70350623327 scopus 로고    scopus 로고
    • Mind the gaps: Weighting the unknown in large-scale one-class collaborative filtering
    • Rong Pan and Martin Scholz. Mind the gaps: weighting the unknown in large-scale one-class collaborative filtering. In KDD, pages 667-676, 2009.
    • (2009) KDD , pp. 667-676
    • Pan, R.1    Scholz, M.2
  • 19
    • 0001391984 scopus 로고    scopus 로고
    • Collaborative filtering by personality diagnosis: A hybrid memory and model-based approach
    • David M. Pennock, Eric Horvitz, Steve Lawrence, and C. Lee Giles. Collaborative filtering by personality diagnosis: A hybrid memory and model-based approach. In UAI, pages 473-480, 2000.
    • (2000) UAI , pp. 473-480
    • Pennock, D.M.1    Horvitz, E.2    Lawrence, S.3    Lee Giles, C.4
  • 20
    • 84858021011 scopus 로고    scopus 로고
    • Learning recommender systems with adaptive regularization
    • Steffen Rendle. Learning recommender systems with adaptive regularization. In WSDM, pages 133-142, 2012.
    • (2012) WSDM , pp. 133-142
    • Rendle, S.1
  • 21
    • 77950902603 scopus 로고    scopus 로고
    • Pairwise interaction tensor factorization for personalized tag recommendation
    • Steffen Rendle and Lars Schmidt-Thieme. Pairwise interaction tensor factorization for personalized tag recommendation. In WSDM, pages 81-90, 2010.
    • (2010) WSDM , pp. 81-90
    • Rendle, S.1    Schmidt-Thieme, L.2
  • 22
    • 48349135120 scopus 로고    scopus 로고
    • Probabilistic matrix factorization
    • Ruslan Salakhutdinov and Andriy Mnih. Probabilistic matrix factorization. In NIPS, 2007.
    • (2007) NIPS
    • Salakhutdinov, R.1    Mnih, A.2
  • 23
    • 56449131205 scopus 로고    scopus 로고
    • Bayesian probabilistic matrix factorization using markov chain monte carlo
    • Ruslan Salakhutdinov and Andriy Mnih. Bayesian probabilistic matrix factorization using markov chain monte carlo. In ICML, pages 880-887, 2008.
    • (2008) ICML , pp. 880-887
    • Salakhutdinov, R.1    Mnih, A.2
  • 24
    • 34547983260 scopus 로고    scopus 로고
    • Restricted boltzmann machines for collaborative filtering
    • Ruslan Salakhutdinov, Andriy Mnih, and Geoffrey E. Hinton. Restricted boltzmann machines for collaborative filtering. In ICML, pages 791-798, 2007.
    • (2007) ICML , pp. 791-798
    • Salakhutdinov, R.1    Mnih, A.2    Hinton, G.E.3
  • 25
    • 85052617391 scopus 로고    scopus 로고
    • Item-based collaborative filtering recommendation algorithms
    • Badrul M. Sarwar, George Karypis, Joseph A. Konstan, and John Riedl. Item-based collaborative filtering recommendation algorithms. In WWW, pages 285-295, 2001.
    • (2001) WWW , pp. 285-295
    • Sarwar, B.M.1    Karypis, G.2    Konstan, J.A.3    Riedl, J.4
  • 26
    • 77956208065 scopus 로고    scopus 로고
    • Training and testing of recommender systems on data missing not at random
    • Harald Steck. Training and testing of recommender systems on data missing not at random. In KDD, pages 713-722, 2010.
    • (2010) KDD , pp. 713-722
    • Steck, H.1
  • 27
    • 80052666619 scopus 로고    scopus 로고
    • Collaborative topic modeling for recommending scientific articles
    • Chong Wang and David M. Blei. Collaborative topic modeling for recommending scientific articles. In KDD, pages 448-456, 2011.
    • (2011) KDD , pp. 448-456
    • Wang, C.1    Blei, D.M.2
  • 28
    • 77956547440 scopus 로고    scopus 로고
    • Simple and efficient multiple kernel learning by group lasso
    • Haifa, Israel
    • Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, and Michael R. Lyu. Simple and efficient multiple kernel learning by group lasso. In ICML, pages 1175-1182, Haifa, Israel, 2010.
    • (2010) ICML , pp. 1175-1182
    • Xu, Z.1    Jin, R.2    Yang, H.3    King, I.4    Lyu, M.R.5
  • 30
    • 77956496396 scopus 로고    scopus 로고
    • Online learning for group lasso
    • Haiqin Yang, Zenglin Xu, Irwin King, and Michael R. Lyu. Online learning for group lasso. In ICML, pages 1191-1198, 2010.
    • (2010) ICML , pp. 1191-1198
    • Yang, H.1    Xu, Z.2    King, I.3    Lyu, M.R.4
  • 31
    • 79952183228 scopus 로고    scopus 로고
    • Efficient sparse generalized multiple kernel learning
    • Haiqin Yang, Zenglin Xu, Jieping Ye, Irwin King, and Michael R. Lyu. Efficient sparse generalized multiple kernel learning. IEEE Transactions on Neural Networks, 22(3):433-446, 2011.
    • (2011) IEEE Transactions on Neural Networks , vol.22 , Issue.3 , pp. 433-446
    • Yang, H.1    Xu, Z.2    Ye, J.3    King, I.4    Lyu, M.R.5
  • 32
    • 80053167162 scopus 로고    scopus 로고
    • Multidomain collaborative filtering
    • Yu Zhang, Bin Cao, and Dit-Yan Yeung. Multidomain collaborative filtering. In UAI, pages 725-732, 2010.
    • (2010) UAI , pp. 725-732
    • Zhang, Y.1    Cao, B.2    Yeung, D.-Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.