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It is of increasing importance to develop learning methods for ranking.
Deep belief networks for phone recognition
Abdel rahman Mohamed, George E. Dahl, and Geoffrey E. Hinton · 1925
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Algorithms for the assignment and transportation problems
J. Munkres · 1957
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A relationship between arbitrary positive matrices and doubly stochastic matrices
Richard Sinkhorn · 1964
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Concerning nonnegative matrices and doubly stochastic matrices
Richard Sinkhorn and Paul Knopp · 1967
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Nonnegative Matrices and Applications
T. E. S. Raghavan R. B. Bapat · 1997
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Information Retrieval
R. Baeza-Yates and B. Ribeiro-Neto · 1999
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Cumulated gain-based evaluation of IR techniques
Kalervo Järvelin and Jaana Kekäläinen · 2002
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Polynomial approximation algorithms for belief matrix maintenance in identity management
Hamsa Balakrishnan, Inseok Hwang, and Claire J. Tomlin · 2004
Cited alongside, same era.
Direct optimization for ranking measures
Quoc V. Le and Alex J. Smola · 2007
Cited alongside, same era.
AdaRank: A boosting algorithm for information retrieval
Jun Xu and Hang Li · 2007
Cited alongside, same era.
Learning to rank: from pairwise approach to listwise approach
Zhe Cao, Tao Qin, Tie-Yan Liu, Ming-Feng Tsai, and Hang Li · 2007
Cited alongside, same era.
Rank-biased precision for measurement of retrieval effectiveness
Alistair Moffat and Justin Zobel · 2008
Cited alongside, same era.
SoftRank: Optimizing non-smooth rank metrics
Michael J. Taylor, John Guiver, Stephen Robertson, and Tom Minka · 2008
Fast approximation of the permanent for very dense problems
M. Huber and J. Law · 2008
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BoltzRank: Learning to maximize expected ranking gain
M. N. Volkovs and R. S. Zemel · 2009
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Sinkhorn solves Sudoku
T. K. Moon, J. H. Gunther, and J. J. Kupin · 2009
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Learning permutations with exponential weights
David P. Helmbold and Manfred K. Warmuth · 2009
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Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
Honglak Lee, Roger Grosse, Rajesh Ranganath, and Andrew Y. Ng · 2009
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Gradient descent optimization of smoothed information retrieval metrics
O. Chapelle and M. Wu · 2010
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Cited alongside, same era.
The Sinkhorn-Knopp algorithm: Convergence and applications
Philip A. Knight · 2008
Cited alongside, same era.
LETOR: A benchmark collection for research on learning to rank for information retrieval
Tao Qin, Tie-Yan Liu, Jun Xu, and Hang Li · 2010
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