%0 Conference Paper %1 Burges05 %A Burges, Chris %A Shaked, Tal %A Renshaw, Erin %A Lazier, Ari %A Deeds, Matt %A Hamilton, Nicole %A Hullender, Greg %B ICML '05: Proceedings of the 22nd international conference on Machine learning %C New York, NY, USA %D 2005 %I ACM %K learning ranking %P 89--96 %R http://doi.acm.org/10.1145/1102351.1102363 %T Learning to rank using gradient descent %U http://portal.acm.org/citation.cfm?id=1102351.1102363 %X We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an implementation of these ideas using a neural network to model the underlying ranking function. We present test results on toy data and on data from a commercial internet search engine. %@ 1-59593-180-5

@inproceedings{Burges05, abstract = {We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an implementation of these ideas using a neural network to model the underlying ranking function. We present test results on toy data and on data from a commercial internet search engine.}, added-at = {2008-09-23T16:11:08.000+0200}, address = {New York, NY, USA}, author = {Burges, Chris and Shaked, Tal and Renshaw, Erin and Lazier, Ari and Deeds, Matt and Hamilton, Nicole and Hullender, Greg}, biburl = {https://www.bibsonomy.org/bibtex/2a00e5dd434027770eae311854b0bc88a/mkroell}, booktitle = {ICML '05: Proceedings of the 22nd international conference on Machine learning}, description = {Learning to rank using gradient descent}, doi = {http://doi.acm.org/10.1145/1102351.1102363}, interhash = {700415055c8bc48d64de26303b25533c}, intrahash = {a00e5dd434027770eae311854b0bc88a}, isbn = {1-59593-180-5}, keywords = {learning ranking}, location = {Bonn, Germany}, pages = {89--96}, publisher = {ACM}, timestamp = {2008-12-23T14:20:24.000+0100}, title = {Learning to rank using gradient descent}, url = {http://portal.acm.org/citation.cfm?id=1102351.1102363}, year = 2005 }