-
1
-
-
20844435854
-
Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
-
Adomavicius G., Tuzhilin A. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans. Knowl. Data Eng. Arch. 2005, 17(6):734-749.
-
(2005)
IEEE Trans. Knowl. Data Eng. Arch.
, vol.17
, Issue.6
, pp. 734-749
-
-
Adomavicius, G.1
Tuzhilin, A.2
-
2
-
-
49749086487
-
Scalable collaborative filtering with jointly derived neighborhood interpolation weights
-
R. Bell, Y. Koren, Scalable collaborative filtering with jointly derived neighborhood interpolation weights, in: IEEE International Conference on Data Mining (ICDM' 07), 2007, pp. 43-52.
-
(2007)
IEEE International Conference on Data Mining (ICDM' 07)
, pp. 43-52
-
-
Bell, R.1
Koren, Y.2
-
3
-
-
35348914807
-
Google news personalization: Scalable online collaborative filtering
-
Alberta, Canada
-
A. Das, M. Datar, A. Garg, S. Rajaram, Google news personalization: Scalable online collaborative filtering, in: Proceedings of WWW07: the 16th International Conference on World Wide Web, Alberta, Canada, 2007, pp. 271-280.
-
(2007)
Proceedings of WWW07: the 16th International Conference on World Wide Web
, pp. 271-280
-
-
Das, A.1
Datar, M.2
Garg, A.3
Rajaram, S.4
-
4
-
-
67049164166
-
Collaborative filtering for implicit feedback datasets
-
IEEE Computer Society
-
Y. Hu, Y. Koren, C. Volinsky, Collaborative filtering for implicit feedback datasets, in: ICDM '08: Proceedings of the 2008 Eighth IEEE International Conference on Data Mining (Washington, DC, USA), IEEE Computer Society, 2008, pp. 263-272.
-
(2008)
ICDM '08: Proceedings of the 2008 Eighth IEEE International Conference on Data Mining (Washington, DC, USA)
, pp. 263-272
-
-
Hu, Y.1
Koren, Y.2
Volinsky, C.3
-
5
-
-
67349093319
-
Nonnegative matrix factorization based on alternating nonnegativity constrained least squares and active set method
-
Kim H., Park H. Nonnegative matrix factorization based on alternating nonnegativity constrained least squares and active set method. SIAM J. Matrix Anal. Appl. 2008, 30(2):713-730.
-
(2008)
SIAM J. Matrix Anal. Appl.
, vol.30
, Issue.2
, pp. 713-730
-
-
Kim, H.1
Park, H.2
-
7
-
-
85008044987
-
Matrix factorization techniques for recommender systems
-
Koren Y., Bell R., Volinsky C. Matrix factorization techniques for recommender systems. Computer 2009, 42(8):30-37.
-
(2009)
Computer
, vol.42
, Issue.8
, pp. 30-37
-
-
Koren, Y.1
Bell, R.2
Volinsky, C.3
-
9
-
-
0037252945
-
Amazon.com recommendations: item-to-item collaborative filtering
-
Linden G., Smith B., York J. Amazon.com recommendations: item-to-item collaborative filtering. IEEE Internet Comput. 2003, 7:76-80.
-
(2003)
IEEE Internet Comput.
, vol.7
, pp. 76-80
-
-
Linden, G.1
Smith, B.2
York, J.3
-
10
-
-
14344250829
-
Collaborative Filtering: A Machine Learning Perspective
-
Masters thesis, University of Toronto, Computer Science Department
-
B. Marlin, Collaborative Filtering: A Machine Learning Perspective, Masters thesis, University of Toronto, Computer Science Department, 2004.
-
(2004)
-
-
Marlin, B.1
-
11
-
-
77956944781
-
Spectral regularization algorithms for learning large incomplete matrices
-
Mazumder R., Hastie T., Tibshirani R. Spectral regularization algorithms for learning large incomplete matrices. J. Mach Learn Res. 2010, 11:2287-2322.
-
(2010)
J. Mach Learn Res.
, vol.11
, pp. 2287-2322
-
-
Mazumder, R.1
Hastie, T.2
Tibshirani, R.3
-
12
-
-
57949113756
-
Improving regularized singular value decomposition for collaborative filtering
-
A. Paterek, Improving regularized singular value decomposition for collaborative filtering, in: Proceedings of the KDD Cup and Workshop, 2007.
-
(2007)
Proceedings of the KDD Cup and Workshop
-
-
Paterek, A.1
-
13
-
-
78649966572
-
Fast ALS-based matrix factorization for explicit and implicit feedback datasets
-
ACM, New York, NY, USA
-
I. Pilászy, D. Zibriczky, D. Tikk, Fast ALS-based matrix factorization for explicit and implicit feedback datasets, in: RecSys '10: Proceedings of the Fourth ACM conference on Recommender Systems, ACM, New York, NY, USA, 2010, pp. 71-78.
-
(2010)
RecSys '10: Proceedings of the Fourth ACM conference on Recommender Systems
, pp. 71-78
-
-
Pilászy, I.1
Zibriczky, D.2
Tikk, D.3
-
15
-
-
56449131205
-
Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
-
ACM, Helsinki, Finland
-
R. Salakhutdinov, A. Mnih, Bayesian probabilistic matrix factorization using Markov chain Monte Carlo, in: ICML '08: Proceedings of the 25th International Conference on Machine Learning, ACM, Helsinki, Finland, 2008, pp. 880-887.
-
(2008)
ICML '08: Proceedings of the 25th International Conference on Machine Learning
, pp. 880-887
-
-
Salakhutdinov, R.1
Mnih, A.2
-
17
-
-
85052617391
-
Item-based collaborative filtering recommendation algorithms
-
B. Sarwar, G. Karypis, J. Konstan, J. Riedl, Item-based collaborative filtering recommendation algorithms, in: Proceedings of the 10th International Conference on the World Wide Web, 2001, pp. 285-295.
-
(2001)
Proceedings of the 10th International Conference on the World Wide Web
, pp. 285-295
-
-
Sarwar, B.1
Karypis, G.2
Konstan, J.3
Riedl, J.4
-
19
-
-
0032219074
-
Multiple imputation for multivariate missing data problems: a data analyst's perspective
-
Schafer J.L., Olsen M.K. Multiple imputation for multivariate missing data problems: a data analyst's perspective. Multivar. Behav. Res. 1998, 33:545-571.
-
(1998)
Multivar. Behav. Res.
, vol.33
, pp. 545-571
-
-
Schafer, J.L.1
Olsen, M.K.2
-
21
-
-
64149121935
-
Scalable collaborative filtering approaches for large recommender systems
-
(Special Topic on Mining and Learning with Graphs and Relations)
-
Takács G., Pilászy I., Németh B., Tikk D. Scalable collaborative filtering approaches for large recommender systems. J. Mach. Learn. Res. 2009, 10:623-656. (Special Topic on Mining and Learning with Graphs and Relations).
-
(2009)
J. Mach. Learn. Res.
, vol.10
, pp. 623-656
-
-
Takács, G.1
Pilászy, I.2
Németh, B.3
Tikk, D.4
-
22
-
-
48249137439
-
Collaborative filtering via ensembles of matrix factorizations
-
M. Wu, Collaborative filtering via ensembles of matrix factorizations, in: Proceedings of KDD Cup and Workshop, 2007.
-
(2007)
Proceedings of KDD Cup and Workshop
-
-
Wu, M.1
-
23
-
-
72449152230
-
Fast nonparametric matrix factorization for large-scale collaborative filtering
-
ACM, New York, NY, USA
-
K. Yu, S. Zhu, J. Lafferty, Y. Gong, Fast nonparametric matrix factorization for large-scale collaborative filtering, in: SIGIR '09: Proceedings of the 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, New York, NY, USA, 2009, pp. 211-218.
-
(2009)
SIGIR '09: Proceedings of the 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval
, pp. 211-218
-
-
Yu, K.1
Zhu, S.2
Lafferty, J.3
Gong, Y.4
-
24
-
-
77956175497
-
Successively alternate least square for low-rank matrix factorization with bounded missing data
-
Zhao K., Zhang Z. Successively alternate least square for low-rank matrix factorization with bounded missing data. Comput. Vision Image Understanding 2010, 114(10):1084-1096.
-
(2010)
Comput. Vision Image Understanding
, vol.114
, Issue.10
, pp. 1084-1096
-
-
Zhao, K.1
Zhang, Z.2
-
25
-
-
48249089255
-
Large-scale parallel collaborative filtering for the netflix prize
-
Springer
-
Y. Zhou, D. Wilkinson, R. Schreiber, R. Pan, Large-scale parallel collaborative filtering for the netflix prize, in: Proceedings of 4th International Conference on Algorithmic Aspects in Information and Management, Lecture Notes in Computer Science, vol. 5034, Springer, 2008, pp. 337-348.
-
(2008)
Proceedings of 4th International Conference on Algorithmic Aspects in Information and Management, Lecture Notes in Computer Science
, vol.5034
, pp. 337-348
-
-
Zhou, Y.1
Wilkinson, D.2
Schreiber, R.3
Pan, R.4
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