R. 1. Owens, J. D. Houston, M. Luebke, D. Green, S. Stone et al., GPU Computing, Proceedings of the IEEE, vol.96, issue.5, pp.879-899, 2008.
DOI : 10.1109/JPROC.2008.917757

C. Nvidia, Compute unified device architecture programming guide, 2007.

D. Steinkraus, I. Buck, and P. Simard, Using GPUs for machine learning algorithms, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), pp.1115-1120, 2005.
DOI : 10.1109/ICDAR.2005.251

O. Chapelle and Y. Chang, Yahoo! learning to rank challenge overview, Journal of Machine Learning Research-Proceedings Track, vol.14, pp.1-24, 2011.

N. Fuhr, Optimum polynomial retrieval functions based on the probability ranking principle, ACM Transactions on Information Systems, vol.7, issue.3, pp.183-204, 1989.
DOI : 10.1145/65943.65944

W. S. Cooper, F. C. Gey, and D. P. Dabney, Probabilistic retrieval based on staged logistic regression, Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '92, pp.198-210, 1992.
DOI : 10.1145/133160.133199

Y. Freund, R. Iyer, R. E. Schapire, and Y. Singer, An efficient boosting algorithm for combining preferences, The Journal of machine learning research, vol.4, pp.933-969, 2003.

C. Burges, T. Shaked, E. Renshaw, A. Lazier, M. Deeds et al., Learning to rank using gradient descent, Proceedings of the 22nd international conference on Machine learning , ICML '05, pp.89-96, 2005.
DOI : 10.1145/1102351.1102363

C. Quoc and V. Le, Learning to rank with nonsmooth cost functions, Proceedings of the Advances in Neural Information Processing Systems, pp.193-200, 2007.

Q. Wu, C. J. Burges, K. M. Svore, and J. Gao, Ranking, boosting, and model adaptation, pp.2008-109, 2008.

H. Valizadegan, R. Jin, R. Zhang, and J. Mao, Learning to rank by optimizing ndcg measure. In: Advances in neural information processing systems, pp.1883-1891, 2009.

C. Cortes and V. Vapnik, Support-vector networks, Machine Learning, vol.1, issue.3, pp.273-297, 1995.
DOI : 10.1007/BF00994018

T. Joachims, T. Finley, and C. N. Yu, Cutting-plane training of structural SVMs, Machine Learning, vol.6, issue.2, pp.27-59, 2009.
DOI : 10.1007/s10994-009-5108-8

D. Sculley, Large scale learning to rank, In: NIPS Workshop on Advances in Ranking, pp.1-6, 2009.

A. Airola, T. Pahikkala, and T. Salakoski, Training linear ranking SVMs in linearithmic time using red???black trees, Pattern Recognition Letters, vol.32, issue.9, pp.1328-1336, 2011.
DOI : 10.1016/j.patrec.2011.03.014

C. P. Lee and C. J. Lin, Large-Scale Linear RankSVM, Neural Computation, vol.11, issue.5, pp.1-37, 2014.
DOI : 10.1145/1277741.1277792
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.307.8565

O. Chapelle and S. S. Keerthi, Efficient algorithms for ranking with SVMs, Information Retrieval, vol.6, issue.6, pp.201-215, 2010.
DOI : 10.1007/s10791-009-9109-9

H. Yu, Y. Kim, and S. Hwang, RV-SVM: An Efficient Method for Learning Ranking SVM, Advances in Knowledge Discovery and Data Mining, pp.426-438, 2009.
DOI : 10.1007/3-540-44581-1_27

T. M. Kuo, C. P. Lee, C. J. Lin, A. R. Conn, N. I. Gould et al., Large-scale kernel ranksvm 20, 2000.
DOI : 10.1137/1.9781611973440.93
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.639.5866

C. J. Lin, R. C. Weng, and S. S. Keerthi, Trust region newton method for logistic regression, The Journal of Machine Learning Research, vol.9, pp.627-650, 2008.

R. E. Fan, K. W. Chang, C. J. Hsieh, X. R. Wang, and C. J. Lin, Liblinear: A library for large linear classification, The Journal of Machine Learning Research, vol.9, pp.1871-1874, 2008.

T. Joachims, A support vector method for multivariate performance measures, Proceedings of the 22nd international conference on Machine learning , ICML '05, pp.377-384, 2005.
DOI : 10.1145/1102351.1102399

D. Cederman and P. Tsigas, A Practical Quicksort Algorithm for Graphics Processors, pp.246-258, 2008.
DOI : 10.1007/978-3-540-87744-8_21
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.140.4581

K. E. Batcher, Sorting networks and their applications, Proceedings of the April 30--May 2, 1968, spring joint computer conference on, AFIPS '68 (Spring), pp.307-314, 1968.
DOI : 10.1145/1468075.1468121

M. Richardson, A. Prakash, and E. Brill, Beyond PageRank, Proceedings of the 15th international conference on World Wide Web , WWW '06, pp.707-715, 2006.
DOI : 10.1145/1135777.1135881