-
5
-
-
77956193582
-
-
homepage
-
MovieLens data. homepage: http://www.grouplens.org/node/73, 2006.
-
(2006)
MovieLens Data
-
-
-
6
-
-
77956211525
-
-
homepage
-
S. Deerwester, S. Dumais, G. Furnas, R. Harshman, T. Landauer, K. Lochbaum, Lynn Streeter, et al. Latent semantic analysis / indexing. homepage: http://lsa.colorado.edu/.
-
Latent Semantic Analysis / Indexing
-
-
Deerwester, S.1
Dumais, S.2
Furnas, G.3
Harshman, R.4
Landauer, T.5
Lochbaum, K.6
Streeter, L.7
-
9
-
-
3042697346
-
Evaluating collaborative filtering recommender systems
-
J. L. Herlocker, J. A. Konstan, L. G. Terveen, and J. T. Riedl. Evaluating collaborative filtering recommender systems. ACM Transactions on Information Systems, 22:5-53, 2004.
-
(2004)
ACM Transactions on Information Systems
, vol.22
, pp. 5-53
-
-
Herlocker, J.L.1
Konstan, J.A.2
Terveen, L.G.3
Riedl, J.T.4
-
12
-
-
40549127811
-
Nonresponse weighting adjustment using estimated response probability
-
J. K. Kim and J. J. Kim. Nonresponse weighting adjustment using estimated response probability. The Canadian Journal of Statistics, 35:501-14, 2007.
-
(2007)
The Canadian Journal of Statistics
, vol.35
, pp. 501-514
-
-
Kim, J.K.1
Kim, J.J.2
-
13
-
-
65449121157
-
Factorization meets the neighborhood: A multifaceted collaborative filtering model
-
Y. Koren. Factorization meets the neighborhood: a multifaceted collaborative filtering model. In ACM Conference on Knowledge Discovery and Data Mining, pages 426-34, 2008.
-
(2008)
ACM Conference on Knowledge Discovery and Data Mining
, pp. 426-434
-
-
Koren, Y.1
-
15
-
-
67149083078
-
One-class collaborative filtering
-
R. Pan, Y. Zhou, B. Cao, N. Liu, R. Lukose, M. Scholz, and Q. Yang. One-class collaborative filtering. In IEEE International Conference on Data Mining (ICDM), 2008.
-
IEEE International Conference on Data Mining (ICDM), 2008
-
-
Pan, R.1
Zhou, Y.2
Cao, B.3
Liu, N.4
Lukose, R.5
Scholz, M.6
Yang, Q.7
-
16
-
-
57949113756
-
Improving regularized singular value decomposition for collaborative filtering
-
A. Paterek. Improving regularized singular value decomposition for collaborative filtering. In KDDCup, 2007.
-
(2007)
KDDCup
-
-
Paterek, A.1
-
18
-
-
77951622706
-
The central role of the propensity score in observational studies for causal effects
-
P. R. Rosenbaum and D. B. Rubin. The central role of the propensity score in observational studies for causal effects. Biometrika, 70:41-55, 1983.
-
(1983)
Biometrika
, vol.70
, pp. 41-55
-
-
Rosenbaum, P.R.1
Rubin, D.B.2
-
24
-
-
77956208065
-
Training and testing of recommender systems on data missing not at random
-
H. Steck. Training and testing of recommender systems on data missing not at random. In ACM Conference on Knowledge Discovery and Data Mining, pages 713-22, 2010.
-
(2010)
ACM Conference on Knowledge Discovery and Data Mining
, pp. 713-722
-
-
Steck, H.1
-
25
-
-
84890090425
-
A generalized probabilistic framework and its variants for training top-k recommender systems
-
H. Steck and Y. Xin. A generalized probabilistic framework and its variants for training top-k recommender systems. In PRSAT Workshop at RecSys Conf., http://ceur-ws.org/#Vol-676, 2010.
-
(2010)
PRSAT Workshop at RecSys Conf.
-
-
Steck, H.1
Xin, Y.2
|