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Diversity is an important principle in data selection and summarization, facility location, and recommendation systems.
Clustering to minimize the maximum intercluster distance
T. F. Gonzalez · 1985
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Programming models for facility dispersion: The p-dispersion and maxisum dispersion problems
M. J. Kuby · 1987
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The discrete p-dispersion problem
E. Erkut · 1990
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Obnoxious facility location on graphs
A. Tamir · 1991
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Heuristic and special case algorithms for dispersion problems
S. S. Ravi, D. J. Rosenkrantz, and G. K. Tayi · 1994
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Approximation algorithms for maximum dispersion
R. Hassin, S. Rubinstein, and A. Tamir · 1997
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The use of mmr, diversity-based reranking for reordering documents and producing summaries
J. Carbonell and J. Goldstein · 1998
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Approximation algorithms for dispersion problems
B. Chandra and M. M. Halldórsson · 2001
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Combinatorial optimization: polyhedra and efficiency
A. Schrijver · 2003
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Randomized and approximation algorithms for blue-red matching
C. Nomikos, A. Pagourtzis, and S. Zachos · 2007
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Diversifying search results
R. Agrawal, S. Gollapudi, A. Halverson, and S. Ieong · 2009
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An axiomatic approach for result diversification
S. Gollapudi and A. Sharma · 2009
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Sidelines: An algorithm for increasing diversity in news and opinion aggregators
S. A. Munson, D. X. Zhou, and P. Resnick · 2009
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Search result diversification
M. Drosou and E. Pitoura · 2010
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Efficient diversity-aware search
A. Angel and N. Koudas · 2011
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Max-sum diversification, monotone submodular functions and dynamic updates
A. Borodin, H. C. Lee, and Y. Ye · 2012
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Fairness through awareness
C. Dwork, M. Hardt, T. Pitassi, O. Reingold, and R. Zemel · 2012
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Diversifying top-k results
L. Qin, J. X. Yu, and L. Chang · 2012
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Diversity maximization under matroid constraints
Z. Abbassi, V. S. Mirrokni, and M. Thakur · 2013
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Diversity’s new frontier: Diversity of thought and the future of the workforce
A. N. Diaz-Uda, C. Medina, and B. Schill · 2013
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Max flows in o(nm) time, or better
J. B. Orlin · 2013
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Diverse set selection over dynamic data
M. Drosou and E. Pitoura · 2014
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Composable core-sets for diversity and coverage maximization
P. Indyk, S. Mahabadi, M. Mahdian, and V. S. Mirrokni · 2014
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Fairness testing: Testing software for discrimination
S. Galhotra, Y. Brun, and A. Meliou · 2017
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Measuring fairness in ranked outputs
K. Yang and J. Stoyanovich · 2017
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Fa*ir: A fair top-k ranking algorithm
M. Zehlike, F. Bonchi, C. Castillo, S. Hajian, M. Megahed, and R. Baeza-Yates · 2017
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Fast coreset-based diversity maximization under matroid constraints
M. Ceccarello, A. Pietracaprina, and G. Pucci · 2018
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Fair and diverse DPP-based data summarization
E. Celis, V. Keswani, D. Straszak, A. Deshpande, T. Kathuria, and N. Vishnoi · 2018
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Online set selection with fairness and diversity constraints
J. Stoyanovich, K. Yang, and H. V. Jagadish · 2018
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S. Aghamolaei, M. Farhadi, and H. Zarrabi-Zadeh · 2015
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Why diversity matters
V. Hunt, D. Layton, and S. Prince · 2015
Cited alongside, same era.
Linear relaxations for finding diverse elements in metric spaces
A. Bhaskara, M. Ghadiri, V. Mirrokni, and O. Svensson · 2016
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Matroid and knapsack center problems
D. Z. Chen, J. Li, H. Liang, and H. Wang · 2016
Cited alongside, same era.
Max-sum diversification, monotone submodular functions, and dynamic updates
A. Borodin, A. Jain, H. C. Lee, and Y. Ye · 2017
Cited alongside, same era.
Mapreduce and streaming algorithms for diversity maximization in metric spaces of bounded doubling dimension
M. Ceccarello, A. Pietracaprina, G. Pucci, and E. Upfal · 2017
Cited alongside, same era.
Rc-index: Diversifying answers to range queries
Y. Wang, A. Meliou, and G. Miklau · 2018
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Better sliding window algorithms to maximize subadditive and diversity objectives
M. Borassi, A. Epasto, S. Lattanzi, S. Vassilvitskii, and M. Zadimoghaddam · 2019
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Matroids, matchings, and fairness
F. Chierichetti, R. Kumar, S. Lattanzi, and S. Vassilvtiskii · 2019
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Fair k-center clustering for data summarization
M. Kleindessner, P. Awasthi, and J. Morgenstern · 2019
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J. B. Orlin and X. Gong · 2019
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Balanced ranking with diversity constraints
K. Yang, V. Gkatzelis, and J. Stoyanovich · 2019
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Efficient indexes for diverse top-k range queries
P. K. Agarwal, S. Sintos, and A. Steiger · 2020
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How to solve fair k k -center in massive data models, 2020
A. Chiplunkar, S. Kale, and S. N. Ramamoorthy · 2020
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Fair k-centers via maximum matching
M. Jones, H. L. Nguyen, and T. M. Nguyen · 2020
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Evaluating transportation equity: Guidance for incorporating distributional impacts in transportation planning
T. Litman · 2020
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