Learning to rank using gradient descent (2005)

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by Chris Burges , Tal Shaked , Erin Renshaw , Matt Deeds , Nicole Hamilton , Greg Hullender
Venue:In ICML
Citations:345 - 16 self

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6 A fast algorithm for learning a ranking function from large scale data sets – Vikas C. Raykar, Ramani Duraiswami, Balaji Krishnapuram - 2007
1 Scalable machine learning for massive datasets: Fast summation algorithms – Vikas Chandrakant Raykar - 2007
1 A Neural Network Approach to Ordinal Regression – Jianlin Cheng, Zheng Wang, Gianluca Pollastri
83 Adapting ranking SVM to document retrieval – Yunbo Cao, Jun Xu, Tie-yan Liu, Hang Li, Yalou Huang, Hsiao-wuen Hon - 2006
101 Letor: Benchmark dataset for research on learning to rank for information retrieval – Tie-yan Liu, Jun Xu, Tao Qin, Wenying Xiong, Hang Li - 2007
30 FRank: A Ranking Method with Fidelity Loss – Ming-feng Tsai, Tie-yan Liu, Tao Qin, Hsin-hsi Chen, Wei-ying Ma - 2007
3 Learning to search web pages with query-level loss functions – Tao Qin, Tie-yan Liu, Ming-feng Tsai, Xu-dong Zhang, Hang Li - 2006
18 Query-level loss functions for information retrieval – Tao Qin, Xu-Dong Zhang, Ming-Feng Tsai, De-Sheng Wang, Tie-Yan Liu, Hang Li - 2008
10 Ranking as Learning Structured Outputs – Christopher J. C. Burges - 2005
Semantic Searching and Ranking of Documents using Hybrid Learning System and WordNet – Pooja Arora, Prof Om Vikas
12 Collaborative Ordinal Regression – Shipeng Yu, Kai Yu, Volker Tresp - 2006
21 Ranking with multiple hyperplanes – Tao Qin, Tie-yan Liu, Wei Lai, Xu-dong Zhang, De-sheng Wang, Hang Li - 2007
1 NEW LEARNING FRAMEWORKS FOR INFORMATION RETRIEVAL – Yisong Yue - 2011
10 On Using Simultaneous Perturbation Stochastic Approximation for Learning to Rank, and the Empirical Optimality of LambdaRank – Yisong Yue, Christopher J. C. Burges
8 Label Ranking Algorithms: A Survey – Shankar Vembu, Thomas Gärtner
preference – Willem Waegeman, Bernard De Baets, Luc Boullart
21 Probabilistic Models for Combining Diverse Knowledge Sources in Multimedia Retrieval – Rong Yan - 2006
NSF and DARPA – Xiaoye Jiang, Lek-heng Lim, Yuan Yao, Yinyu Ye, Hodge Theory, Xiaoye Jiang, Lek-heng Lim, Yuan Yao, Yinyu Ye
1 LEARNING TO RANK WITH COMBINATORIAL HODGE THEORY – Xiaoye Jiang, Lek-heng Lim, Yuan Yao, Yinyu Ye