-
1
-
-
36849023117
-
Predictive discrete latent factor models for large scale dyadic data
-
D. Agarwal and S. Merugu. Predictive discrete latent factor models for large scale dyadic data. In SIGKDD, 2007.
-
(2007)
SIGKDD
-
-
Agarwal, D.1
Merugu, S.2
-
2
-
-
0000746402
-
Recommendation as classification: Using social and content-based information in recommendation
-
C. Basu, H. Hirsh, and W. Cohen. Recommendation as classification: Using social and content-based information in recommendation. In AAAI, 1998.
-
(1998)
AAAI
-
-
Basu, C.1
Hirsh, H.2
Cohen, W.3
-
3
-
-
0000582521
-
Statistical analysis of non-lattice data
-
Sept
-
J. Besag. Statistical analysis of non-lattice data. The Stat., 24(3):179-195, Sept. 1975.
-
(1975)
The Stat
, vol.24
, Issue.3
, pp. 179-195
-
-
Besag, J.1
-
5
-
-
72249085126
-
-
J. S. Breese, D. Heckerman, and C. Kadie. Empirical analysis of predctive algorithms for collaborative filtering. In UAI, 1998.
-
J. S. Breese, D. Heckerman, and C. Kadie. Empirical analysis of predctive algorithms for collaborative filtering. In UAI, 1998.
-
-
-
-
6
-
-
0036959356
-
Hybrid recommender systems: Survey and experiments
-
R. D. Burke. Hybrid recommender systems: Survey and experiments. User Model. User-Adapt. Interact., 12(4):331-370, 2002.
-
(2002)
User Model. User-Adapt. Interact
, vol.12
, Issue.4
, pp. 331-370
-
-
Burke, R.D.1
-
7
-
-
0004014502
-
A Gaussian prior for smoothing maximum entropy models
-
Technical Report CMU-CS-99-108, Carnegie Mellon University
-
S. F. Chen and R. Rosenfeld. A Gaussian prior for smoothing maximum entropy models. Technical Report CMU-CS-99-108, Carnegie Mellon University, 1999.
-
(1999)
-
-
Chen, S.F.1
Rosenfeld, R.2
-
8
-
-
1642374016
-
Combining content-based and collaborative filters in an online newspaper
-
M. Claypool, A. Gokhale, T. Miranda, P. Murnikov, D. Netes, and M. Sartin. Combining content-based and collaborative filters in an online newspaper. In SIGIR Wkshp. Rec. Sys., 1999.
-
(1999)
SIGIR Wkshp. Rec. Sys
-
-
Claypool, M.1
Gokhale, A.2
Miranda, T.3
Murnikov, P.4
Netes, D.5
Sartin, M.6
-
9
-
-
72249112527
-
-
N. Good, J. B. Schafer, J. A. Konstan, A. Borchers, B. Sarwar, J. Herlocker, and J. Riedl. Combining collaborative filtering with personal agents for better recommendations. In AAAI, 1999.
-
N. Good, J. B. Schafer, J. A. Konstan, A. Borchers, B. Sarwar, J. Herlocker, and J. Riedl. Combining collaborative filtering with personal agents for better recommendations. In AAAI, 1999.
-
-
-
-
10
-
-
63449099034
-
Tied Boltzmann machines for cold start recommendations
-
A. Gunawardana and C. Meek. Tied Boltzmann machines for cold start recommendations. In ACM RecSys, 2008.
-
(2008)
ACM RecSys
-
-
Gunawardana, A.1
Meek, C.2
-
11
-
-
0002123103
-
Dependency networks for inference, collaborative filtering, and data visualization
-
Oct
-
D. Heckerman, D. M. Chickering, C. Meek, R. Rounthwaite, and C. Kadie. Dependency networks for inference, collaborative filtering, and data visualization. JMLR, 1:49-75, Oct. 2000.
-
(2000)
JMLR
, vol.1
, pp. 49-75
-
-
Heckerman, D.1
Chickering, D.M.2
Meek, C.3
Rounthwaite, R.4
Kadie, C.5
-
12
-
-
84862271600
-
Latent class models for collaborative filtering
-
T. Hofmann and J. Puzicha. Latent class models for collaborative filtering. In IJCAI, 1999.
-
(1999)
IJCAI
-
-
Hofmann, T.1
Puzicha, J.2
-
13
-
-
3242783300
-
Mining skewed and sparse transaction data for personalized shopping recommendation
-
C.-N. Hsu, H.-H. Chung, and H.-S. Huang. Mining skewed and sparse transaction data for personalized shopping recommendation. Mach. Learn., 57(1-2):35-59, 2004.
-
(2004)
Mach. Learn
, vol.57
, Issue.1-2
, pp. 35-59
-
-
Hsu, C.-N.1
Chung, H.-H.2
Huang, H.-S.3
-
14
-
-
33749425692
-
Consistency of pseudolikelihood estimation of fully visible Boltzmann machines
-
A. Hyvärinen. Consistency of pseudolikelihood estimation of fully visible Boltzmann machines. Neur. Comp., 18:2283-2292, 2006.
-
(2006)
Neur. Comp
, vol.18
, pp. 2283-2292
-
-
Hyvärinen, A.1
-
15
-
-
0000935895
-
An introduction to varational methods for graphical models
-
M. I. Jordan, editor, MIT Press
-
M. I. Jordan, Z. Ghahramani, T. S. Jaakkola, and L. K. Saul. An introduction to varational methods for graphical models. In M. I. Jordan, editor, Learning in Graphical Models, pages 105-162. MIT Press, 1999.
-
(1999)
Learning in Graphical Models
, pp. 105-162
-
-
Jordan, M.I.1
Ghahramani, Z.2
Jaakkola, T.S.3
Saul, L.K.4
-
17
-
-
0037252945
-
Amazon.com recommendations: Item-to-item collaborative filtering
-
G. Linden, B. Smith, and J. York. Amazon.com recommendations: Item-to-item collaborative filtering. IEEE Internet Comp. Mag., 7(1), 2003.
-
(2003)
IEEE Internet Comp. Mag
, vol.7
, Issue.1
-
-
Linden, G.1
Smith, B.2
York, J.3
-
18
-
-
2542520920
-
On-line hand-printing recognition with neural networks
-
R. F. Lyon and L. S. Yaeger. On-line hand-printing recognition with neural networks. In MicroNeuro, 1996.
-
(1996)
MicroNeuro
-
-
Lyon, R.F.1
Yaeger, L.S.2
-
19
-
-
0001673996
-
A comparison of event models for naive bayes text classification
-
A. McCallum and K. Nigam. A comparison of event models for naive bayes text classification. In AAAI Wkshp. Lrn. Txt. Cat., 1998.
-
(1998)
AAAI Wkshp. Lrn. Txt. Cat
-
-
McCallum, A.1
Nigam, K.2
-
20
-
-
0344519548
-
A taxonomy of recommender agents on the internet
-
M. Montaner, B. López, and J. L. de la Rosa. A taxonomy of recommender agents on the internet. AI Rev., 19(4), 2003.
-
(2003)
AI Rev
, vol.19
, Issue.4
-
-
Montaner, M.1
López, B.2
de la Rosa, J.L.3
-
21
-
-
0033653019
-
Content-based book recommending using learning for text categorization
-
R. J. Mooney and L. Roy. Content-based book recommending using learning for text categorization. In ACM DL, pages 195-204, 2000.
-
(2000)
ACM DL
, pp. 195-204
-
-
Mooney, R.J.1
Roy, L.2
-
22
-
-
33749578362
-
Naïve filterbots for robust cold-start recommendations
-
S.-T. Park, D. Pennock, O. Madani, N. Good, and D. DeCoste. Naïve filterbots for robust cold-start recommendations. In SIGKDD, pages 699-705, 2006.
-
(2006)
SIGKDD
, pp. 699-705
-
-
Park, S.-T.1
Pennock, D.2
Madani, O.3
Good, N.4
DeCoste, D.5
-
23
-
-
0033325071
-
A framework for collaborative, content-based and demographic filtering
-
M. J. Pazzani. A framework for collaborative, content-based and demographic filtering. AI Rev., 13:393-408, 1999.
-
(1999)
AI Rev
, vol.13
, pp. 393-408
-
-
Pazzani, M.J.1
-
24
-
-
85030174634
-
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 ACM CSCW, pages 175-186, 1994.
-
(1994)
ACM CSCW
, pp. 175-186
-
-
Resnick, P.1
Iacovou, N.2
Suchak, M.3
Bergstrom, P.4
Riedl, J.5
-
25
-
-
84943274699
-
A direct adaptive method for faster backpropagation learning: The RPROP algorithm
-
M. Riedmiller and H. Braun. A direct adaptive method for faster backpropagation learning: The RPROP algorithm. In IEEE Int. Conf. Neur. Net., volume 1, pages 586-591, 1993.
-
(1993)
IEEE Int. Conf. Neur. Net
, vol.1
, pp. 586-591
-
-
Riedmiller, M.1
Braun, H.2
-
26
-
-
72249106174
-
Learning and evaluating boltzmann machines
-
TR 2008-002, Dept. of Computer Science, Univ. of Toronto
-
R. Salakhutdinov. Learning and evaluating boltzmann machines. Technical Report UTML TR 2008-002, Dept. of Computer Science, Univ. of Toronto, 2008.
-
(2008)
Technical Report UTML
-
-
Salakhutdinov, R.1
-
27
-
-
36849095780
-
Restricted Boltzmann machines for collaborative filtering
-
R. Salakhutdinov, A. Mnih, and G. Hinton. Restricted Boltzmann machines for collaborative filtering. In ICML, 2007.
-
(2007)
ICML
-
-
Salakhutdinov, R.1
Mnih, A.2
Hinton, G.3
-
28
-
-
72249083085
-
-
B. Sarwar, G. K. nad Joseph Konstan, and J. Reidl. Item-based collaborative filtering recommendation algorithms. In WWW, 2001.
-
B. Sarwar, G. K. nad Joseph Konstan, and J. Reidl. Item-based collaborative filtering recommendation algorithms. In WWW, 2001.
-
-
-
-
31
-
-
72249087131
-
-
A. Zimdars, D. M. Chickering, and C. Meek. Using temporal data for making recommendations. In UAI, 2001.
-
A. Zimdars, D. M. Chickering, and C. Meek. Using temporal data for making recommendations. In UAI, 2001.
-
-
-
|