Special Issue on Learning To Rank For Information Retrieval; Guest Editors: Tie-Yan Liu, Thorsten Joachims, Hang Li and Chengxiang Zhai
197-200
Learning to rank for information retrieval
Introduction to special issue on learning to rank for information retrieval
Tie-Yan Liu, Thorsten Joachims, Hang Li and Chengxiang Zhai
201-215
Learning to rank for information retrieval
Efficient algorithms for ranking with SVMs
O. Chapelle and S. S. Keerthi
216-235
Learning to rank for information retrieval
Gradient descent optimization of smoothed information retrieval metrics
Olivier Chapelle and Mingrui Wu
236-253
Learning to rank for information retrieval
Knowledge transfer for cross domain learning to rank
Depin Chen, Yan Xiong, Jun Yan, Gui-Rong Xue and Gang Wang, et al.
254-270
Learning to rank for information retrieval
Adapting boosting for information retrieval measures
Qiang Wu, Christopher J. C. Burges, Krysta M. Svore and Jianfeng Gao
271-290
Learning to Rank for Information Retrieval
On the choice of effectiveness measures for learning to rank
Emine Yilmaz and Stephen Robertson
291-314
Learning to rank for information retrieval
Learning to rank with (a lot of) word features
Bing Bai, Jason Weston, David Grangier, Ronan Collobert and Kunihiko Sadamasa, et al.