[1]

Software Rights Archive, LLC v. Google Inc.; Yahoo! Inc.; IAC Search Media, Inc.; AOL LLC; and Lycos, Inc., US Northern District of California, Case No. cv083172 2012.,

[2]

Valtrus Innovations Ltd v. Google LLC., US Northern District of Texas, Case No. 3: 22cv00066N 2022.,

[3]

M. J. Alves and J. P. Costa, Graphical exploration of the weight space in threeobjective mixed integer linear programs, European Journal of Operational Research, 248 (2016), 7283.
doi: 10.1016/j.ejor.2015.06.072.

[4]

P. Anderson, T. Chartier and A. Langville, The rankability of data, SIAM Journal on the Mathematics of Data Science, 1 (2019), 121143.
doi: 10.1137/18M1183595.

[5]

P. E. Anderson, T. P. Chartier, A. N. Langville and K. E. PedingsBehling, The rankability of weighted data from pairwise comparisons, Foundations of Data Science, (2021), 126.
doi: 10.3934/fods.2021002.

[6]

P. E. Anderson, T. P. Chartier, A. N. Langville and K. E. PedingsBehling, Fairness and the set of optimal rankings for the linear ordering problem, Optimization and Engineering, (2021), 129.
doi: 10.1007/s1108102109650y.

[7]

J. Bennett, S. Lanning, et al., The Netflix prize, in Proceedings of KDD Cup and Workshop, vol. 2007, New York, 2007, p. 35.

[8]

H. P. Benson and E. Sun, Outcome space partition of the weight set in multiobjective linear programming, Journal of Optimization Theory and Applications, 105 (2000), 1736.
doi: 10.1023/A:1004605810296.

[9]

T. R. Cameron, A. N. Langville and H. C. Smith, On the graph Laplacian and the rankability of data, Linear Algebra and its Applications, 588 (2020), 81100.
doi: 10.1016/j.laa.2019.11.026.

[10]

C. Dwork, R. Kumar, M. Naor and D. Sivakumar, Rank aggregation methods for the web, in Proceedings of the 10th International Conference on World Wide Web, 2001,613622.
doi: 10.1145/371920.372165.

[11]

M. Ehrgott, Multicriteria Optimization, vol. 491, Springer Science & Business Media, 2005.

[12]

S. C. Geyik, S. Ambler and K. Kenthapadi, Fairnessaware ranking in search & recommendation systems with application to linkedin talent search, in Proceedings of the 25th Acm Sigkdd International Conference on Knowledge Discovery & Data Mining, 2019, 22212231.
doi: 10.1145/3292500.3330691.

[13]

J. Guo, Y. Fan, L. Pang, L. Yang, Q. Ai, H. Zamani, C. Wu, W. B. Croft and X. Cheng, A deep look into neural ranking models for information retrieval, Information Processing & Management, 57 (2020), 102067.
doi: 10.1016/j.ipm.2019.102067.

[14]

G. Karakaya and M. Köksalan, Evaluating solutions and solution sets under multiple objectives, European Journal of Operational Research, 294 (2021), 1628.
doi: 10.1016/j.ejor.2021.01.021.

[15]

P. Kidwell, G. Lebanon and W. Cleveland, Visualizing incomplete and partially ranked data, IEEE Trans Vis Comput Graph, 6 (2008), 13561363.
doi: 10.1109/TVCG.2008.181.

[16]

S.H. Kim and B. L. Nelson, Recent advances in ranking and selection, in 2007 Winter Simulation Conference, IEEE, 2007,162172.

[17]

G. A. Kramer, System and method for selecting weighting for searching and for presentation of search results, U.S. Patent 20090164948A1, Dec. 2007, https://patentimages.storage.googleapis.com/d1/93/3c/977340213bf726/US20090164948A1.pdf

[18]

A. N. Langville and C. D. Meyer, Who's# 1? The Science of Rating and Ranking, Princeton University Press, 2012.

[19]

K. Massey, Statistical Models Applied to the Rating of Sports Teams, Bluefield College, 1077 (1997).

[20]

N. McJames, D. Malone and O. Mason, A supervised learning approach to rankability, Tech. Report, arXiv: 2203.07364, Hamilton Institute, Maynooth University, 2022.

[21]

T. A. Perini, Techniques for Multiobjective Optimization with Discrete Variables: Boxed Line Method and Tchebychev Weight Set Decomposition, PhD thesis, Georgia Institute of Technology, 2021.

[22]

A. Przybylski, X. Gandibleux and M. Ehrgott, A recursive algorithm for finding all nondominated extreme points in the outcome set of a multiobjective integer programme, INFORMS Journal on Computing, 22 (2010), 371386.
doi: 10.1287/ijoc.1090.0342.

[23]

M. G. Schimek, E. Budinská, K. G. Kugler, V. Švendová, J. Ding and S. Lin, Topklists: A comprehensive R package for statistical inference, stochastic aggregation, and visualization of multiple omics ranked lists, Statistical Applications in Genetics and Molecular Biology, 14 (2015), 311316.
doi: 10.1515/sagmb20140093.

[24]

B. Smith and G. Linden, Two decades of recommender systems at Amazon.com, IEEE Internet Computing, 21 (2017), 1218.
doi: 10.1109/MIC.2017.72.
