G. Adomavicius and A. Tuzhilin, Context-aware recommender systems, Recommender systems handbook, pp.191-226, 2015.

D. K. Agarwal and B. C. Chen, Statistical methods for recommender systems, 2016.

C. C. Aggarwal, Recommender systems, 2016.

A. Agresti, Categorical data analysis, 1996.

M. Alvo and P. Yu, Statistical methods for ranking data, Probability and the Statistical Sciences, 2014.

D. Asfaw, V. Vitelli, Ø. Sørensen, E. Arjas, and A. Frigessi, Time-varying rankings with the Bayesian Mallows model, Stat, vol.6, pp.14-30, 2017.

R. A. Bradley and M. E. Terry, Rank analysis of incomplete block designs: I. The method of paired comparisons, Biometrika, vol.39, pp.324-345, 1952.

F. Caron and A. Doucet, Efficient Bayesian inference for generalized BradleyTerry models, Journal of Computational and Graphical Statistics, vol.21, pp.174-196, 2012.
URL : https://hal.archives-ouvertes.fr/inria-00533638

M. Cattelan, Models for paired comparison data: A review with emphasis on dependent data, Statistical Science, pp.412-433, 2012.

M. Crispino, E. Arjas, V. Vitelli, N. Barrett, and A. Frigessi, A Bayesian Mallows approach to non-transitive pair comparison data: how human are sounds? Forthcoming in the, Annals of Applied Statistics, 2018.

M. Crispino and A. Frigessi, The Hierarchical Bradley-Terry model, 2018.

R. R. Davidson, On extending the Bradley-Terry model to accommodate ties in paired comparison experiments, Journal of the American Statistical Association, vol.65, pp.317-328, 1970.

M. S. Desarkar, S. Sarkar, and P. Mitra, Preference relations based unsupervised rank aggregation for metasearch, Expert Systems with Applications, vol.49, pp.86-98, 2016.

P. Diaconis, Group representations in probability and statistics, vol.11, 1988.

P. Diaconis and R. L. Graham, Spearman's Footrule as a Measure of Disarray, Journal of the Royal Statistical Society B, vol.39, pp.262-268, 1977.

H. Fang, Y. Wang, J. Q. Ma, and J. , RankwithTA: A robust and accurate peer grading mechanism for MOOCs, Teaching, Assessment, and Learning for Engineering, 2017.

L. R. Ford, Solution of a ranking problem from binary comparisons, The American Mathematical Monthly, vol.64, pp.28-33, 1957.

J. Fürnkranz and E. Hüllermeier, Preference learning: An introduction, 2010.

M. E. Glickman, Parameter estimation in large dynamic paired comparison experiments, Applied Statistics, pp.377-394, 1999.

A. Gunawardana and G. Shani, Evaluating recommender systems, Recommender Systems Handbook, pp.265-308, 2015.

Y. Hu, Y. Koren, and C. Volinsky, Collaborative filtering for implicit feedback datasets, Proceedings of the 2008 Eighth IEEE International Conference on Data Mining, ICDM '08, 2008.

D. R. Hunter, MM algorithms for generalized Bradley-Terry models, The Annals of Statistics, vol.32, pp.384-406, 2004.

E. Irurozki, B. Calvo, and A. Lozano, Sampling and learning the Mallows and generalized Mallows models under the Hamming distance, Bernoulli, 2014.

E. Irurozki, B. Calvo, and J. A. Lozano, Sampling and learning mallows and generalized mallows models under the cayley distance, Methodology and Computing in Applied Probability, vol.20, pp.1-35, 2018.

J. Jacques and C. Biernacki, Model-based clustering for multivariate partial ranking data, Journal of StatistiAli2012cal Planning and Inference, vol.149, pp.201-217, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00743384

A. Karatzoglou and B. Hidasi, Deep learning for recommender systems, Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017.

J. G. Kemeny and J. L. Snell, Mathematical models in the social sciences, 1962.

Y. Koren, R. Bell, and C. Volinsky, Matrix factorization techniques for recommender systems, Computer, vol.42, 2009.

Z. F. Lansdowne and B. S. Woodward, Applying the borda ranking method, Air Force Journal of Logistics, vol.20, pp.27-29, 1996.

L. Li, W. Chu, J. Langford, and R. E. Schapire, A contextual-bandit approach to personalized news article recommendation, Proceedings of the 19th international conference on World wide web, 2010.

T. Lu and C. Boutilier, Effective sampling and learning for Mallows models with pairwise-preference data, Journal of Machine Learning Research, vol.15, pp.3783-3829, 2014.

R. D. Luce, Individual choice behavior: A theoretical analysis, 1959.

C. L. Mallows, Non-null ranking models. I, Biometrika, vol.44, pp.114-130, 1957.

J. I. Marden, Analyzing and Modeling Rank Data, of Monographs on Statistics and Applied Probability, vol.64, 1995.

M. Meil?ameil?a and H. Chen, Dirichlet Process Mixtures of Generalized Mallows Models, Proceedings of the Twenty-Sixth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-10), 2010.

C. Mollica and L. Tardella, Bayesian Plackett-Luce mixture models for partially ranked data, Psychometrika, 2016.

C. Mollica and L. Tardella, PLMIX: An R package for modeling and clustering partially ranked data, 2016.

S. Mukherjee, Estimation in exponential families on permutations, The Annals of Statistics, vol.44, pp.853-875, 2016.

R. L. Plackett, The Analysis of Permutations, Journal of the Royal Statistical Society C, vol.24, pp.193-202, 1975.

K. Raman and T. Joachims, Bayesian ordinal peer grading, Proceedings of the Second (2015) ACM Conference on Learning@ Scale, 2015.

F. Ricci, L. Rokach, and B. Shapira, Recommender systems: introduction and challenges, Recommender systems handbook, pp.1-34, 2015.

M. Tanner and W. Wong, The calculation of posterior distributions by data augmentation (with discussion), Journal of the American Statistical Association, vol.82, pp.528-550, 1987.

L. L. Thurstone, A law of comparative judgment, Psychological review, vol.34, p.273, 1927.

V. Vitelli, Ø. Sørensen, M. Crispino, A. Frigessi, and E. Arjas, Probabilistic preference learning with the Mallows rank model, Journal of Machine Learning Research, vol.18, pp.1-49, 2018.

R. Wu, J. Xu, R. Srikant, L. Massoulié, M. Lelarge et al., Clustering and inference from pairwise comparisons, In ACM SIGMETRICS Performance Evaluation Review, vol.43, 2015.

T. Yan, Ranking in the generalized Bradley-Terry models when the strong connection condition fails, Communications in Statistics-Theory and Methods, vol.45, pp.340-353, 2016.

E. Zermelo, Die berechnung der turnier-ergebnisse als ein maximumproblem der wahrscheinlichkeitsrechnung, Mathematische Zeitschrift, vol.29, pp.436-460, 1929.