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Singular value decomposition (SVD) is the mathematical basis of principal component analysis (PCA).
Face processing: Human perception and principal components analysis
P. J. Hancock, A. M. Burton, and V. Bruce · 1996
Earlier work this paper cites.
Learning collaborative information filters
D. Billsus and M. J. Pazzani · 1998
Earlier work this paper cites.
An algorithmic framework for performing collaborative filtering
J. L. Herlocker, J. A. Konstan, A. Borchers, and J. Riedl · 1999
Earlier work this paper cites.
A re-examination of text categorization methods
Y. Yang and X. Liu · 1999
Earlier work this paper cites.
Singular value decomposition for genome-wide expression data processing and modeling
O. Alter, P. O. Brown, and D. Botstein · 2000
Earlier work this paper cites.
Application of dimensionality reduction in recommender system-a case study
B. Sarwar, G. Karypis, J. Konstan, and J. Riedl · 2000
Earlier work this paper cites.
The elements of statistical learning
J. Friedman, T. Hastie, and R. Tibshirani · 2001
Earlier work this paper cites.
Eigentaste: A constant time collaborative filtering algorithm
K. Goldberg, T. Roeder, D. Gupta, and C. Perkins · 2001
Earlier work this paper cites.
Evaluation of item-based top-n recommendation algorithms
G. Karypis · 2001
Earlier work this paper cites.
Item-based collaborative filtering recommendation algorithms
B. Sarwar, G. Karypis, J. Konstan, and J. Riedl · 2001
Earlier work this paper cites.
Weighted low-rank approximations
N. Srebro and T. Jaakkola · 2003
Earlier work this paper cites.
Item-based top-n recommendation algorithms
M. Deshpande and G. Karypis · 2004
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I. Jolliffe · 2005
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H. Zou, T. Hastie, and R. Tibshirani · 2006
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A. d’Aspremont, L. El Ghaoui, M. I. Jordan, and G. R. Lanckriet · 2007
Cited alongside, same era.
Methods for large scale svd with missing values
M. Kurucz, A. A. Benczúr, and K. Csalogány · 2007
Cited alongside, same era.
Sparse principal component analysis via regularized low rank matrix approximation
H. Shen and J. Z. Huang · 2008
Cited alongside, same era.
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GroupLens · 2014
Later among the works it cites.
Imdb website
IMDB · 2014
Later among the works it cites.
Rotten tomatoes website
RottenTomatoes · 2014
Later among the works it cites.
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D. Williams, S. Zheng, X. Zhang, and H. Jamjoom · 2014
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Kernel alignment inspired linear discriminant analysis
S. Zheng and C. Ding · 2014
Later among the works it cites.
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S. Zheng, X. Cai, C. H. Ding, F. Nie, and H. Huang · 2015
Later among the works it cites.
A harmonic mean linear discriminant analysis for robust image classification
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