SemRank: ranking refinement strategy by using the semantic intensity
暂无分享,去创建一个
Jonathan Loo | Martin Loomes | Irfan Ullah | Nida Aslam | Roohullah | M. Loomes | Jonathan Loo | Irfan Ullah | N. Aslam | Roohullah
[1] Tie-Yan Liu,et al. Learning to rank: from pairwise approach to listwise approach , 2007, ICML '07.
[2] Guido Zuccon,et al. Using the Quantum Probability Ranking Principle to Rank Interdependent Documents , 2010, ECIR.
[3] Tie-Yan Liu,et al. Adapting ranking SVM to document retrieval , 2006, SIGIR.
[4] Christian Viard-Gaudin,et al. Ranking Fusion Methods Applied to On-Line Handwriting Information Retrieval , 2010, ECIR.
[5] Craig MacDonald,et al. Learning to Select a Ranking Function , 2010, ECIR.
[6] Koby Crammer,et al. Pranking with Ranking , 2001, NIPS.
[7] Hang Li,et al. AdaRank: a boosting algorithm for information retrieval , 2007, SIGIR.
[8] Michael Collins,et al. Maximum Margin Ranking Algorithms for Information Retrieval , 2010, ECIR.
[9] Cynthia Rudin,et al. Margin-based Ranking and an Equivalence between AdaBoost and RankBoost , 2009, J. Mach. Learn. Res..
[10] Gerard Salton,et al. A vector space model for automatic indexing , 1975, CACM.
[11] Qiang Yang,et al. Exploiting the hierarchical structure for link analysis , 2005, SIGIR '05.
[12] Shumeet Baluja,et al. Pagerank for product image search , 2008, WWW.
[13] Tao Qin,et al. FRank: a ranking method with fidelity loss , 2007, SIGIR.
[14] Gregory N. Hullender,et al. Learning to rank using gradient descent , 2005, ICML.
[15] Yoram Singer,et al. An Efficient Boosting Algorithm for Combining Preferences by , 2013 .
[16] Brian D. Davison,et al. Topical link analysis for web search , 2006, SIGIR.
[17] Furu Wei,et al. iRANK: an interactive ranking framework and its application in query-focused summarization , 2009, CIKM.