-
1
-
-
33749567580
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
18
-
-
67149083078
-
One-class collaborative filtering
-
Rong Pan, Yunhong Zhou, Bin Cao, Nathan Nan Liu, Rajan M. Lukose, Martin Scholz, and Qiang Yang. One-class collaborative filtering. In ICDM, pages 502-511, 2008.
-
(2008)
ICDM
, pp. 502-511
-
-
Pan, R.1
Zhou, Y.2
Cao, B.3
Nan Liu, N.4
Lukose, R.M.5
Scholz, M.6
Yang, Q.7
-
19
-
-
0001391984
-
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
-
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
-
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
-
Probabilistic matrix factorization
-
Ruslan Salakhutdinov and Andriy Mnih. Probabilistic matrix factorization. In NIPS, 2007.
-
(2007)
NIPS
-
-
Salakhutdinov, R.1
Mnih, A.2
-
23
-
-
56449131205
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
|