Learning to Rank by Optimizing NDCG Measure
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Rong Jin | Ruofei Zhang | Jianchang Mao | Hamed Valizadegan | Rong Jin | Hamed Valizadegan | Ruofei Zhang | Jianchang Mao
[1] Tao Qin,et al. Robust sparse rank learning for non-smooth ranking measures , 2009, SIGIR.
[2] Yoram Singer,et al. An Efficient Boosting Algorithm for Combining Preferences by , 2013 .
[3] Rong Jin,et al. Semi-Supervised Ensemble Ranking , 2008, AAAI.
[4] Ramesh Nallapati,et al. Discriminative models for information retrieval , 2004, SIGIR '04.
[5] Qiang Wu,et al. McRank: Learning to Rank Using Multiple Classification and Gradient Boosting , 2007, NIPS.
[6] Tao Qin,et al. Learning to Search Web Pages with Query-Level Loss Functions , 2006 .
[7] Hang Li,et al. Ranking refinement and its application to information retrieval , 2008, WWW.
[8] Gregory N. Hullender,et al. Learning to rank using gradient descent , 2005, ICML.
[9] Tao Qin,et al. LETOR: Benchmark Dataset for Research on Learning to Rank for Information Retrieval , 2007 .
[10] Thomas Hofmann,et al. Learning to Rank with Nonsmooth Cost Functions , 2006, NIPS.
[11] Tao Qin,et al. FRank: a ranking method with fidelity loss , 2007, SIGIR.
[12] Klaus Obermayer,et al. Support vector learning for ordinal regression , 1999 .
[13] Zoubin Ghahramani,et al. On the Convergence of Bound Optimization Algorithms , 2002, UAI.
[14] Tie-Yan Liu,et al. Adapting ranking SVM to document retrieval , 2006, SIGIR.
[15] Tie-Yan Liu,et al. Listwise approach to learning to rank: theory and algorithm , 2008, ICML '08.
[16] Stephen E. Robertson,et al. SoftRank: optimizing non-smooth rank metrics , 2008, WSDM '08.
[17] Tie-Yan Liu,et al. Learning to rank: from pairwise approach to listwise approach , 2007, ICML '07.
[18] Filip Radlinski,et al. A support vector method for optimizing average precision , 2007, SIGIR.
[19] Hang Li,et al. AdaRank: a boosting algorithm for information retrieval , 2007, SIGIR.
[20] Wei-Pang Yang,et al. Learning to Rank for Information Retrieval Using Genetic Programming , 2007 .
[21] Quoc V. Le,et al. Learning to Rank with Nonsmooth Cost Functions , 2006, Neural Information Processing Systems.
[22] Jaana Kekäläinen,et al. IR evaluation methods for retrieving highly relevant documents , 2000, SIGIR '00.
[23] Maksims Volkovs,et al. BoltzRank: learning to maximize expected ranking gain , 2009, ICML '09.