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Data often comes in the form of an array or matrix.
Using collaborative filtering to weave an information tapestry
D. Goldberg, D. Nichols, B. M. Oki, and D. Terry · 1992
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Restricted boltzmann machines for collaborative filtering
R. Salakhutdinov, A. Mnih, and G. Hinton · 2007
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Probabilistic matrix factorization
R. Salakhutdinov and A. Mnih · 2008
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Matrix factorization techniques for recommender systems
Y. Koren, R. Bell, and C. Volinsky · 2009
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Random function priors for exchangeable arrays with applications to graphs and relational data
J. Lloyd, P. Orbanz, Z. Ghahramani, and D. M. Roy · 2012
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Local low-rank matrix approximation
J. Lee, S. Kim, G. Lebanon, and Y. Singer · 2013
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Reasoning with neural tensor networks for knowledge base completion
R. Socher, D. Chen, C. D. Manning, and A. Ng · 2013
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The deep tensor neural network with applications to large vocabulary speech recognition
D. Yu, L. Deng, and F. Seide · 2013
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Knowledge-powered deep learning for word embedding
J. Bian, B. Gao, and T.-Y. Liu · 2014
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Probabilistic matrix factorization with non-random missing data
J. M. Hernández-Lobato, N. Houlsby, and Z. Ghahramani · 2014
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The ladder: A reliable leaderboard for machine learning competitions, 2015
A. Blum and M. Hardt · 2015
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A neural algorithm of artistic style, 2015
L. A. Gatys, A. S. Ecker, and M. Bethge · 2015
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Librec: A java library for recommender systems, 2015
G. Guo, J. Zhang, Z. Sun, and N. Yorke-Smith · 2015
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Leveraging deep neural networks and knowledge graphs for entity disambiguation, 2015
H. Huang, L. Heck, and H. Ji · 2015
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A review of relational machine learning for knowledge graphs, 2015
M. Nickel, K. Murphy, V. Tresp, and E. Gabrilovich · 2015
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Autorec: Autoencoders meet collaborative filtering
S. Sedhain, A. K. Menon, S. Sanner, and L. Xie · 2015
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C. Dwork, V. Feldman, M. Hardt, T. Pitassi, O. Reingold, and A. Roth · 2015
Cited alongside, same era.
Observed versus latent features for knowledge base and text inference
K. Toutanova and D. Chen · 2015
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