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Volumn 3, Issue 3, 2009, Pages 225-231

Learning to rank for Information Retrieval

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK DATASETS; EMPIRICAL EVALUATIONS; EVALUATION MEASURES; GENERALIZATION ABILITY; LEARNING TO RANK; LOSS FUNCTIONS; RANKING MODEL; RANKING PROBLEMS; RESEARCH DIRECTIONS; STATISTICAL RANKING; TRAINING DATA;

EID: 69249119464     PISSN: 15540669     EISSN: 15540677     Source Type: Journal    
DOI: 10.1561/1500000016     Document Type: Article
Times cited : (2085)

References (144)
  • 2
    • 26944457342 scopus 로고    scopus 로고
    • Stability and generalization of bipartite ranking algorithms
    • S. Agarwal and P. Niyogi, "Stability and generalization of bipartite ranking algorithms", in COLT 2005, pp. 32-47, 2005.
    • (2005) COLT 2005 , pp. 32-47
    • Agarwal, S.1    Niyogi, P.2
  • 3
    • 33750367864 scopus 로고    scopus 로고
    • Learning user interaction models for predicting web search result preferences
    • E. Agichtein, E. Brill, S. T. Dumais, and R. Ragno, "Learning user interaction models for predicting web search result preferences", in SIGIR 2006, pp. 3-10, 2006.
    • (2006) SIGIR 2006 , pp. 3-10
    • Agichtein, E.1    Brill, E.2    Dumais, S.T.3    Ragno, R.4
  • 4
    • 36448967787 scopus 로고    scopus 로고
    • A combined component approach for finding collection-adapted ranking functions based on genetic programming
    • H. Almeida, M. Goncalves, M. Cristo, and P. Calado, "A combined component approach for finding collection-adapted ranking functions based on genetic programming", in SIGIR 2007, pp. 399-406, 2007.
    • (2007) SIGIR 2007 , pp. 399-406
    • Almeida, H.1    Goncalves, M.2    Cristo, M.3    Calado, P.4
  • 5
    • 57349154278 scopus 로고    scopus 로고
    • A boosting algorithm for learning bipartite ranking functions with partially labeled data
    • M.-R. Amini, T.-V. Truong, and C. Goutte, "A boosting algorithm for learning bipartite ranking functions with partially labeled data", in SIGIR 2008, pp. 99-106, 2008.
    • (2008) SIGIR 2008 , pp. 99-106
    • Amini, M.-R.1    Truong, T.-V.2    Goutte, C.3
  • 6
    • 84898946229 scopus 로고    scopus 로고
    • Support vector machines for multiple-instance learning
    • S. Andrews, I. Tsochantaridis, and T. Hofmann, "Support vector machines for multiple-instance learning", in NIPS 2003, pp. 561-568, 2003.
    • (2003) NIPS 2003 , pp. 561-568
    • Andrews, S.1    Tsochantaridis, I.2    Hofmann, T.3
  • 7
    • 0034795617 scopus 로고    scopus 로고
    • Models for metasearch
    • J. A. Aslam and M. Montague, "Models for metasearch", in SIGIR 2001, pp. 276-284, 2001.
    • (2001) SIGIR 2001 , pp. 276-284
    • Aslam, J.A.1    Montague, M.2
  • 10
    • 0038453192 scopus 로고    scopus 로고
    • Rademacher and Gaussian complexities risk bounds and structural results
    • P. L. Bartlett and S. Mendelson, "Rademacher and Gaussian complexities risk bounds and structural results", Journal of Machine Learning, pp. 463-482, 2002.
    • (2002) Journal of Machine Learning , pp. 463-482
    • Bartlett, P.L.1    Mendelson, S.2
  • 13
    • 34547972220 scopus 로고    scopus 로고
    • Learning to rank with nonsmooth cost functions
    • C. J. Burges, R. Ragno, and Q. V. Le, "Learning to rank with nonsmooth cost functions", in NIPS 2006, pp. 395-402, 2006.
    • (2006) NIPS 2006 , pp. 395-402
    • Burges, C.J.1    Ragno, R.2    Le, Q.V.3
  • 17
    • 34547987951 scopus 로고    scopus 로고
    • Learning to rank: From pairwise approach to listwise approach
    • Z. Cao, T. Qin, T.-Y. Liu, M.-F. Tsai, and H. Li, "Learning to rank: From pairwise approach to listwise approach", in ICML 2007, pp. 129-136, 2007.
    • (2007) ICML 2007 , pp. 129-136
    • Cao, Z.1    Qin, T.2    Liu, T.-Y.3    Tsai, M.-F.4    Li, H.5
  • 23
    • 33745785709 scopus 로고    scopus 로고
    • Mail rank: Using ranking for spam detection
    • New York, NY, USA: ACM
    • P. Chirita, J. Diederich, and W. Nejdl, "Mail Rank: Using ranking for spam detection", in CIKM 2005, pp. 373-380, New York, NY, USA: ACM, 2005.
    • (2005) CIKM 2005 , pp. 373-380
    • Chirita, P.1    Diederich, J.2    Nejdl, W.3
  • 25
    • 31844453751 scopus 로고    scopus 로고
    • Preference learning with Gaussian processes
    • W. Chu and Z. Ghahramani, "Preference learning with Gaussian processes", in ICML 2005, pp. 137-144, 2005.
    • (2005) ICML 2005 , pp. 137-144
    • Chu, W.1    Ghahramani, Z.2
  • 26
    • 31844454295 scopus 로고    scopus 로고
    • New approaches to support vector ordinal regression
    • W. Chu and S. S. Keerthi, "New approaches to support vector ordinal regression", in ICML 2005, pp. 145-152, 2005.
    • (2005) ICML 2005 , pp. 145-152
    • Chu, W.1    Keerthi, S.S.2
  • 27
    • 51049098491 scopus 로고    scopus 로고
    • Ranking and empirical minimization of U-statistics
    • S. Clemencon, G. Lugosi, and N. Vayatis, "Ranking and empirical minimization of U-statistics", The Annals of Statistics, vol. 36, pp. 844-874, 2008.
    • (2008) The Annals of Statistics , vol.36 , pp. 844-874
    • Clemencon, S.1    Lugosi, G.2    Vayatis, N.3
  • 29
    • 28444495042 scopus 로고    scopus 로고
    • Learning to order things
    • W. W. Cohen, R. E. Schapire, and Y. Singer, "Learning to order things", in NIPS 1998, Vol. 10, pp. 243-270, 1998.
    • (1998) NIPS 1998 , vol.10 , pp. 243-270
    • Cohen, W.W.1    Schapire, R.E.2    Singer, Y.3
  • 30
    • 10444228819 scopus 로고    scopus 로고
    • Ranking algorithms for named-entity extraction: Boosting and the voted perceptron
    • M. Collins, "Ranking algorithms for named-entity extraction: Boosting and the voted perceptron", in ACL 2002, pp. 7-12, 2002.
    • (2002) ACL 2002 , pp. 7-12
    • Collins, M.1
  • 31
    • 0026991449 scopus 로고
    • Probabilistic retrieval based on staged logistic regression
    • W. S. Cooper, F. C. Gey, and D. P. Dabney, "Probabilistic retrieval based on staged logistic regression", in SIGIR 1992, pp. 198-210, 1992.
    • (1992) SIGIR 1992 , pp. 198-210
    • Cooper, W.S.1    Gey, F.C.2    Dabney, D.P.3
  • 32
    • 34547984570 scopus 로고    scopus 로고
    • Magnitude-preserving ranking algorithms
    • C. Cortes, M. Mohri, and A. Rastogi, "Magnitude-preserving ranking algorithms", in ICML 2007, pp. 169-176, 2007.
    • (2007) ICML 2007 , pp. 169-176
    • Cortes, C.1    Mohri, M.2    Rastogi, A.3
  • 33
    • 33746084489 scopus 로고    scopus 로고
    • Subset ranking using regression
    • D. Cossock and T. Zhang, "Subset ranking using regression", in COLT 2006, pp. 605-619, 2006.
    • (2006) COLT 2006 , pp. 605-619
    • Cossock, D.1    Zhang, T.2
  • 34
    • 84898958855 scopus 로고    scopus 로고
    • Pranking with ranking
    • K. Crammer and Y. Singer, "Pranking with ranking", in NIPS 2002, pp. 641-647, 2002.
    • (2002) NIPS 2002 , pp. 641-647
    • Crammer, K.1    Singer, Y.2
  • 36
    • 9444244198 scopus 로고    scopus 로고
    • Mining the peanut gallery: Opinion extraction and semantic classification of product reviews
    • New York, NY, USA: ACM Press
    • K. Dave, S. Lawrence, and D. Pennock, "Mining the peanut gallery: Opinion extraction and semantic classification of product reviews", in WWW 2003, pp. 519-528, New York, NY, USA: ACM Press, 2003.
    • (2003) WWW 2003 , pp. 519-528
    • Dave, K.1    Lawrence, S.2    Pennock, D.3
  • 38
    • 35548956873 scopus 로고    scopus 로고
    • Regularizing query-based retrieval scores
    • F. Diaz, "Regularizing query-based retrieval scores", Information Retrieval, vol. 10, pp. 531-562, 2007.
    • (2007) Information Retrieval , vol.10 , pp. 531-562
    • Diaz, F.1
  • 39
    • 0036567930 scopus 로고    scopus 로고
    • Support vector machines: Relevance feedback and information retrieval
    • H. Drucker, B. Shahrary, and D. C. Gibbon, "Support vector machines: Relevance feedback and information retrieval", Information Processing and Management, vol. 38, pp. 305-323, 2002.
    • (2002) Information Processing and Management , vol.38 , pp. 305-323
    • Drucker, H.1    Shahrary, B.2    Gibbon, D.C.3
  • 40
    • 57349182209 scopus 로고    scopus 로고
    • Learning to rank with partially-labeled data
    • K. Duh and K. Kirchhoff, "Learning to rank with partially-labeled data", in SIGIR 2008, pp. 251-258, 2008.
    • (2008) SIGIR 2008 , pp. 251-258
    • Duh, K.1    Kirchhoff, K.2
  • 42
    • 2142754477 scopus 로고    scopus 로고
    • Discovery of context-specific ranking functions for effective Information Retrieval using genetic programming
    • W. Fan, M. Gordon, and P. Pathak, "Discovery of context-specific ranking functions for effective information retrieval using genetic programming", IEEE Transactions on Knowledge and Data Engineering, vol. 16, pp. 523-527, 2004.
    • (2004) IEEE Transactions on Knowledge and Data Engineering , vol.16 , pp. 523-527
    • Fan, W.1    Gordon, M.2    Pathak, P.3
  • 43
    • 2942601433 scopus 로고    scopus 로고
    • A generic ranking function discovery framework by genetic programming for Information retrieval
    • W. Fan, M. Gordon, and P. Pathak, "A generic ranking function discovery framework by genetic programming for information retrieval", Information Processing and Management, vol. 40, pp. 587-602, 2004.
    • (2004) Information Processing and Management , vol.40 , pp. 587-602
    • Fan, W.1    Gordon, M.2    Pathak, P.3
  • 44
    • 21044456970 scopus 로고    scopus 로고
    • Genetic programming-based discovery of ranking functions for effective web search
    • W. Fan, M. Gordon, and P. Pathak, "Genetic programming-based discovery of ranking functions for effective web search", Journal of Management of Information Systems, vol. 21, pp. 37-56, 2005.
    • (2005) Journal of Management of Information Systems , vol.21 , pp. 37-56
    • Fan, W.1    Gordon, M.2    Pathak, P.3
  • 45
    • 33749837656 scopus 로고    scopus 로고
    • On linear mixture of expert approaches to Information Retrieval
    • W. Fan, M. Gordon, and P. Pathak, "On linear mixture of expert approaches to information retrieval", Decision Support System, vol. 42, pp. 975-987, 2006.
    • (2006) Decision Support System , vol.42 , pp. 975-987
    • Fan, W.1    Gordon, M.2    Pathak, P.3
  • 46
    • 2342555729 scopus 로고    scopus 로고
    • Ranking function optimization for effective web search by genetic programming: An empirical study
    • W. Fan, M. D. Gordon, W. Xi, and E. A. Fox, "Ranking function optimization for effective web search by genetic programming: An empirical study", in HICSS 2004, pp. 40105, 2004.
    • (2004) HICSS 2004 , pp. 40105
    • Fan, W.1    Gordon, M.D.2    Xi, W.3    Fox, E.A.4
  • 48
    • 0031211090 scopus 로고
    • A decision-theoretic generalization of online learning and an application to boosting
    • Y. Freund and R. E. Schapire, "A decision-theoretic generalization of online learning and an application to boosting", Journal of Computer and System, Sciences, vol. 55, pp. 119-139, 1995.
    • (1995) Journal of Computer and System, Sciences , vol.55 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 49
    • 0024689802 scopus 로고
    • Optimum polynomial retrieval functions based on the probability ranking principle
    • N. Fuhr, "Optimum polynomial retrieval functions based on the probability ranking principle", ACM Transactions on Information Systems, vol. 7, pp. 183-204, 1989.
    • (1989) ACM Transactions on Information Systems , vol.7 , pp. 183-204
    • Fuhr, N.1
  • 51
    • 36448949756 scopus 로고    scopus 로고
    • Feature selection for ranking
    • X.-B. Geng, T.-Y. Liu, and T. Qin, "Feature selection for ranking", in SIGIR 2007, pp. 407-414, 2007.
    • (2007) SIGIR 2007 , pp. 407-414
    • Geng, X.-B.1    Liu, T.-Y.2    Qin, T.3
  • 52
    • 57349172967 scopus 로고    scopus 로고
    • Query-dependent ranking using K-nearest neighbor
    • X.-B. Geng, T.-Y. Liu, T. Qin, H. Li, and H.-Y. Shum, "Query-dependent ranking using k-nearest neighbor", in SIGIR 2008, pp. 115-122, 2008.
    • (2008) SIGIR 2008 , pp. 115-122
    • Geng, X.-B.1    Liu, T.-Y.2    Qin, T.3    Li, H.4    Shum, H.-Y.5
  • 53
    • 84866602672 scopus 로고
    • Inferring probability of relevance using the method of logistic regression
    • F. C. Gey, "Inferring probability of relevance using the method of logistic regression", in SIGIR 1994, pp. 222-231, 1994.
    • (1994) SIGIR 1994 , pp. 222-231
    • Gey, F.C.1
  • 55
    • 57349126318 scopus 로고    scopus 로고
    • Learning to rank with softrank and Gaussian processes
    • J. Guiver and E. Snelson, "Learning to rank with softrank and Gaussian processes", in SIGIR 2008, pp. 259-266, 2008.
    • (2008) SIGIR 2008 , pp. 259-266
    • Guiver, J.1    Snelson, E.2
  • 56
    • 85131818719 scopus 로고    scopus 로고
    • Combating web spam with trustrank
    • VLDB Endowment
    • Z. Gyöngyi, H. Garcia-Molina, and J. Pedersen, "Combating web spam with trustrank", in VLDB 2004, pp. 576-587, VLDB Endowment, 2004.
    • (2004) VLDB 2004 , pp. 576-587
    • Gyöngyi, Z.1    Garcia-Molina, H.2    Pedersen, J.3
  • 58
    • 1942484979 scopus 로고    scopus 로고
    • Online ranking/collaborative filtering using the perceptron algorithm
    • E. Harrington, "Online ranking/collaborative filtering using the perceptron algorithm", in ICML 2003, Vol. 20, pp. 250-257, 2003.
    • (2003) ICML 2003 , vol.20 , pp. 250-257
    • Harrington, E.1
  • 59
    • 1942484979 scopus 로고    scopus 로고
    • Online ranking/collaborative filtering using the perceptron algorithm
    • E. F. Harrington, "Online ranking/collaborative filtering using the perceptron algorithm", in ICML 2003, pp. 250-257, 2003.
    • (2003) ICML 2003 , pp. 250-257
    • Harrington, E.F.1
  • 60
    • 8644289729 scopus 로고    scopus 로고
    • A study of parameter tuning for term frequency normalization
    • B. He and I. Ounis, "A study of parameter tuning for term frequency normalization", in CIKM 2003, pp. 10-16, 2003.
    • (2003) CIKM 2003 , pp. 10-16
    • He, B.1    Ounis, I.2
  • 64
    • 85030313899 scopus 로고
    • OHSUMED: An interactive retrieval evaluation and new large test collection for research
    • W. Hersh, C. Buckley, T. J. Leone, and D. Hickam, "OHSUMED: An interactive retrieval evaluation and new large test collection for research", in SIGIR 1994, pp. 192-201, 1994.
    • (1994) SIGIR 1994 , pp. 192-201
    • Hersh, W.1    Buckley, C.2    Leone, T.J.3    Hickam, D.4
  • 65
    • 0033645041 scopus 로고    scopus 로고
    • IR evaluation methods for retrieving highly relevant documents
    • K. Järvelin and J. Kekäläinen, "IR evaluation methods for retrieving highly relevant documents", in SIGIR 2000, pp. 41-48, 2000.
    • (2000) SIGIR 2000 , pp. 41-48
    • Järvelin, K.1    Kekäläinen, J.2
  • 67
    • 57349181197 scopus 로고    scopus 로고
    • Ranking refinement and its application to Information Retrieval
    • R. Jin, H. Valizadegan, and H. Li, "Ranking refinement and its application to information retrieval", in WWW 2008, pp. 397-406, 2008.
    • (2008) WWW 2008 , pp. 397-406
    • Jin, R.1    Valizadegan, H.2    Li, H.3
  • 68
    • 0242456822 scopus 로고    scopus 로고
    • Optimizing search engines using clickthrough data
    • T. Joachims, "Optimizing search engines using clickthrough data", in KDD 2002, pp. 133-142, 2002.
    • (2002) KDD 2002 , pp. 133-142
    • Joachims, T.1
  • 69
    • 32344449048 scopus 로고    scopus 로고
    • Evaluating retrieval performance using clickthrough data
    • T. Joachims, "Evaluating retrieval performance using clickthrough data", Text Mining, pp. 79-96, 2003.
    • (2003) Text Mining , pp. 79-96
    • Joachims, T.1
  • 70
    • 31844446804 scopus 로고    scopus 로고
    • A support vector method for multivariate performance measures
    • T. Joachims, "A support vector method for multivariate performance measures", in CML 2005, pp. 377-384, 2005.
    • (2005) CML 2005 , pp. 377-384
    • Joachims, T.1
  • 71
    • 1542377552 scopus 로고    scopus 로고
    • Query type classification for web document retrieval
    • I. Kang and G. Kim, "Query type classification for web document retrieval", in SIGIR 2003, pp. 64-71, 2003.
    • (2003) SIGIR 2003 , pp. 64-71
    • Kang, I.1    Kim, G.2
  • 72
    • 4243148480 scopus 로고    scopus 로고
    • Authoritative sources in a hyperlinked environment
    • J. M. Kleinberg, "Authoritative sources in a hyperlinked environment", Journal of ACM, vol. 46, pp. 604-632, 1999.
    • (1999) Journal of ACM , vol.46 , pp. 604-632
    • Kleinberg, J.M.1
  • 75
    • 71149120364 scopus 로고    scopus 로고
    • Generalization analysis of listwise learning-to-rank algorithms
    • Y. Lan and T.-Y. Liu, "Generalization analysis of listwise learning-to-rank algorithms", in ICML 2009, 2009.
    • (2009) ICML 2009
    • Lan, Y.1    Liu, T.-Y.2
  • 76
    • 56449103193 scopus 로고    scopus 로고
    • Query-level stability and generalization in learning to rank
    • Y. Lan, T.-Y. Liu, T. Qin, Z. Ma, and H. Li, "Query-level stability and generalization in learning to rank", in ICML 2008, pp. 512-519, 2008.
    • (2008) ICML 2008 , pp. 512-519
    • Lan, Y.1    Liu, T.-Y.2    Qin, T.3    Ma, Z.4    Li, H.5
  • 77
    • 1942516915 scopus 로고    scopus 로고
    • A loss function analysis for classification methods in text categorization
    • F. Li and Y. Yang, "A loss function analysis for classification methods in text categorization", in ICML 2003, pp. 472-479, 2003.
    • (2003) ICML 2003 , pp. 472-479
    • Li, F.1    Yang, Y.2
  • 78
    • 57649092193 scopus 로고    scopus 로고
    • McRank: Learning to rank using multiple classification and gradient boosting
    • P. Li, C. Burges, and Q. Wu, "McRank: Learning to rank using multiple classification and gradient boosting", in NIPS 2007, pp. 845-852, 2007.
    • (2007) NIPS 2007 , pp. 845-852
    • Li, P.1    Burges, C.2    Wu, Q.3
  • 82
    • 0000827480 scopus 로고
    • Non-null ranking models
    • C. L. Mallows, "Non-null ranking models", Biometrika, vol. 44, pp. 114-130, 1975.
    • (1975) Biometrika , vol.44 , pp. 114-130
    • Mallows, C.L.1
  • 83
    • 84945708697 scopus 로고
    • On relevance, probabilistic indexing and Information Retrieval
    • M. E. Maron and J. L. Kuhns, "On relevance, probabilistic indexing and information retrieval", Journal of the ACM, vol. 7, pp. 216-244, 1960.
    • (1960) Journal of the ACM , vol.7 , pp. 216-244
    • Maron, M.E.1    Kuhns, J.L.2
  • 85
    • 84885662673 scopus 로고    scopus 로고
    • A Markov random field model for term dependencies
    • D. A. Metzler and W. B. Croft, "A Markov random field model for term dependencies", in SIGIR 2005, pp. 472-479, 2005.
    • (2005) SIGIR 2005 , pp. 472-479
    • Metzler, D.A.1    Croft, W.B.2
  • 86
    • 33750738367 scopus 로고    scopus 로고
    • Direct maximization of rankbased metrics for Information Retrieval
    • D. A. Metzler, W. B. Croft, and A. McCallum, "Direct maximization of rankbased metrics for information retrieval", in CIIR Technical Report, 2005.
    • (2005) CIIR Technical Report
    • Metzler, D.A.1    Croft, W.B.2    McCallum, A.3
  • 90
    • 8644231803 scopus 로고    scopus 로고
    • Discriminative models for Information Retrieval
    • R. Nallapati, "Discriminative models for information retrieval", in SIGIR 2004, pp. 64-71, 2004.
    • (2004) SIGIR 2004 , pp. 64-71
    • Nallapati, R.1
  • 91
    • 33750405448 scopus 로고    scopus 로고
    • Topical link analysis for web search
    • L. Nie, B. D. Davison, and X. Qi, "Topical link analysis for web search", in SIGIR 2006, pp. 91-98, 2006.
    • (2006) SIGIR 2006 , pp. 91-98
    • Nie, L.1    Davison, B.D.2    Qi, X.3
  • 94
    • 84859895244 scopus 로고    scopus 로고
    • Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales
    • NJ, USA: Association for Computational Linguistics Morristown
    • B. Pang and L. Lee, "Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales", in ACL 2005, pp. 115-124, NJ, USA: Association for Computational Linguistics Morristown, 2005.
    • (2005) ACL 2005 , pp. 115-124
    • Pang, B.1    Lee, L.2
  • 95
    • 0016443515 scopus 로고
    • The analysis of permutations
    • R. L. Plackett, "The analysis of permutations", Applied Statistics, vol. 24, pp. 193-202, 1975.
    • (1975) Applied Statistics , vol.24 , pp. 193-202
    • Plackett, R.L.1
  • 96
    • 0032268440 scopus 로고    scopus 로고
    • A language modeling approach to Information Retrieval
    • J. M. Ponte and W. B. Croft, "A language modeling approach to information retrieval", in SIGIR 1998, pp. 275-281, 1998.
    • (1998) SIGIR 1998 , pp. 275-281
    • Ponte, J.M.1    Croft, W.B.2
  • 101
    • 84885575844 scopus 로고    scopus 로고
    • A study of relevance propagation for web search
    • T. Qin, T.-Y. Liu, X.-D. Zhang, Z. Chen, and W.-Y. Ma, "A study of relevance propagation for web search", in SIGIR 2005, pp. 408-415, 2005.
    • (2005) SIGIR 2005 , pp. 408-415
    • Qin, T.1    Liu, T.-Y.2    Zhang, X.-D.3    Chen, Z.4    Ma, W.-Y.5
  • 103
    • 57349173530 scopus 로고    scopus 로고
    • Learning to rank relational objects and its application to web search
    • T. Qin, T.-Y. Liu, X.-D. Zhang, D. Wang, and H. Li, "Learning to rank relational objects and its application to web search", in WWW 2008, pp. 407-416, 2008.
    • (2008) WWW 2008 , pp. 407-416
    • Qin, T.1    Liu, T.-Y.2    Zhang, X.-D.3    Wang, D.4    Li, H.5
  • 104
    • 84863379285 scopus 로고    scopus 로고
    • Global ranking using continuous conditional random fields
    • T. Qin, T.-Y. Liu, X.-D. Zhang, D.-S. Wang, and H. Li, "Global ranking using continuous conditional random fields", in NIPS 2008, pp. 1281-1288, 2008.
    • (2008) NIPS 2008 , pp. 1281-1288
    • Qin, T.1    Liu, T.-Y.2    Zhang, X.-D.3    Wang, D.-S.4    Li, H.5
  • 105
    • 32344431861 scopus 로고    scopus 로고
    • Query chain: Learning to rank from implicit feedback
    • F. Radlinski and T. Joachims, "Query chain: Learning to rank from implicit feedback", in KDD 2005, pp. 239-248, 2005.
    • (2005) KDD 2005 , pp. 239-248
    • Radlinski, F.1    Joachims, T.2
  • 106
    • 36849045755 scopus 로고    scopus 로고
    • Active exploration for learning rankings from clickthrough data
    • F. Radlinski and T. Joachims, "Active exploration for learning rankings from clickthrough data", in KDD 2007, 2007.
    • (2007) KDD 2007
    • Radlinski, F.1    Joachims, T.2
  • 107
    • 56449088596 scopus 로고    scopus 로고
    • Learning diverse rankings with multi-armed bandits
    • F. Radlinski, R. Kleinberg, and T. Joachims, "Learning diverse rankings with multi-armed bandits", in ICML 2008, pp. 784-791, 2008.
    • (2008) ICML 2008 , pp. 784-791
    • Radlinski, F.1    Kleinberg, R.2    Joachims, T.3
  • 110
    • 34250177239 scopus 로고    scopus 로고
    • On rank-based effectiveness measures and optimization
    • S. Robertson and H. Zaragoza, "On rank-based effectiveness measures and optimization", Information Retrieval, vol. 10, pp. 321-339, 2007.
    • (2007) Information Retrieval , vol.10 , pp. 321-339
    • Robertson, S.1    Zaragoza, H.2
  • 111
    • 0031538203 scopus 로고    scopus 로고
    • Overview of the okapi projects
    • S. E. Robertson, "Overview of the okapi projects", Journal of Documentation, vol. 53, pp. 3-7, 1997.
    • (1997) Journal of Documentation , vol.53 , pp. 3-7
    • Robertson, S.E.1
  • 113
    • 34547632334 scopus 로고    scopus 로고
    • A probabilistic relevance propagation model for hypertext retrieval
    • A. Shakery and C. Zhai, "A probabilistic relevance propagation model for hypertext retrieval", in CIKM 2006, pp. 550-558, 2006.
    • (2006) CIKM 2006 , pp. 550-558
    • Shakery, A.1    Zhai, C.2
  • 114
    • 84899011021 scopus 로고    scopus 로고
    • Ranking with large margin principles: Two approaches
    • A. Shashua and A. Levin, "Ranking with large margin principles: Two approaches", in NIPS 2002, pp. 937-944, 2002.
    • (2002) NIPS 2002 , pp. 937-944
    • Shashua, A.1    Levin, A.2
  • 116
    • 0344756842 scopus 로고    scopus 로고
    • Modern Information Retrieval: A brief overview
    • A. Singhal, "Modern information retrieval: A brief overview", IEEE Data Engineering Bulletin, vol. 24, pp. 35-43, 2001.
    • (2001) IEEE Data Engineering Bulletin , vol.24 , pp. 35-43
    • Singhal, A.1
  • 117
    • 33750321745 scopus 로고    scopus 로고
    • Regularized estimation of mixture models for robust pseudo-relevance feedback
    • T. Tao and C. Zhai, "Regularized estimation of mixture models for robust pseudo-relevance feedback", in SIGIR 2006, pp. 162-169, 2006.
    • (2006) SIGIR 2006 , pp. 162-169
    • Tao, T.1    Zhai, C.2
  • 118
    • 36448996097 scopus 로고    scopus 로고
    • An exploration of proximity measures in Information Retrieval
    • T. Tao and C. Zhai, "An exploration of proximity measures in information retrieval", in SIGIR 2007, pp. 295-302, 2007.
    • (2007) SIGIR 2007 , pp. 295-302
    • Tao, T.1    Zhai, C.2
  • 119
    • 42549161120 scopus 로고    scopus 로고
    • SoftRank: Optimising non-smooth rank metrics
    • M. Taylor, J. Guiver, S. Robertson, and T. Minka, "SoftRank: Optimising non-smooth rank metrics", in WSDM 2008, pp. 77-86, 2008.
    • (2008) WSDM 2008 , pp. 77-86
    • Taylor, M.1    Guiver, J.2    Robertson, S.3    Minka, T.4
  • 120
    • 34547617682 scopus 로고    scopus 로고
    • Optimisation methods for ranking functions with multiple parameters
    • M. Taylor, H. Zaragoza, N. Craswell, S. Robertson, and C. J. Burges, "Optimisation methods for ranking functions with multiple parameters", in CIKM 2006, pp. 585-593, 2006.
    • (2006) CIKM 2006 , pp. 585-593
    • Taylor, M.1    Zaragoza, H.2    Craswell, N.3    Robertson, S.4    Burges, C.J.5
  • 121
    • 17444418317 scopus 로고    scopus 로고
    • Learning to rank
    • A. Trotman, "Learning to rank", Information Retrieval, vol. 8, pp. 359-381, 2005.
    • (2005) Information Retrieval , vol.8 , pp. 359-381
    • Trotman, A.1
  • 123
    • 29344450414 scopus 로고    scopus 로고
    • Support vector machine learning for interdependent and structured output space
    • I. Tsochantaridis, T. Hofmann, T. Joachims, and Y. Altun, "Support vector machine learning for interdependent and structured output space", in ICML 2004, pp. 104-111, 2004.
    • (2004) ICML 2004 , pp. 104-111
    • Tsochantaridis, I.1    Hofmann, T.2    Joachims, T.3    Altun, Y.4
  • 124
    • 77955088871 scopus 로고    scopus 로고
    • Generalization error bounds for classifiers trained with interdependent data
    • N. Usunier, M.-R. Amini, and P. Gallinari, "Generalization error bounds for classifiers trained with interdependent data", in NIPS 2005, pp. 1369-1376, 2005.
    • (2005) NIPS 2005 , pp. 1369-1376
    • Usunier, N.1    Amini, M.-R.2    Gallinari, P.3
  • 128
    • 8644235236 scopus 로고    scopus 로고
    • Learning effective ranking functions for newsgroup search
    • W. Xi, J. Lind, and E. Brill, "Learning effective ranking functions for newsgroup search", in SIGIR 2004, pp. 394-401, 2004.
    • (2004) SIGIR 2004 , pp. 394-401
    • Xi, W.1    Lind, J.2    Brill, E.3
  • 129
    • 56449094442 scopus 로고    scopus 로고
    • Listwise approach to learning to rank - Theorem and algorithm
    • F. Xia, T.-Y. Liu, J. Wang, W. Zhang, and H. Li, "Listwise approach to learning to rank - Theorem and algorithm", in ICML 2008, pp. 1192-1199, 2008.
    • (2008) ICML 2008 , pp. 1192-1199
    • Xia, F.1    Liu, T.-Y.2    Wang, J.3    Zhang, W.4    Li, H.5
  • 130
    • 35048859678 scopus 로고    scopus 로고
    • Ranking definitions with supervised learning methods
    • New York, NY, USA: ACM Press
    • J. Xu, Y. Cao, H. Li, and M. Zhao, "Ranking definitions with supervised learning methods", in WWW 2005, pp. 811-819, New York, NY, USA: ACM Press, 2005.
    • (2005) WWW 2005 , pp. 811-819
    • Xu, J.1    Cao, Y.2    Li, H.3    Zhao, M.4
  • 131
    • 36448954244 scopus 로고    scopus 로고
    • AdaRank: A boosting algorithm for Information Retrieval
    • J. Xu and H. Li, "AdaRank: A boosting algorithm for information retrieval", in SIGIR 2007, pp. 391-398, 2007.
    • (2007) SIGIR 2007 , pp. 391-398
    • Xu, J.1    Li, H.2
  • 132
    • 57349175558 scopus 로고    scopus 로고
    • Directly optimizing IR evaluation measures in learning to rank
    • J. Xu, T.-Y. Liu, M. Lu, H. Li, and W.-Y. Ma, "Directly optimizing IR evaluation measures in learning to rank", in SIGIR 2008, pp. 107-114, 2008.
    • (2008) SIGIR 2008 , pp. 107-114
    • Xu, J.1    Liu, T.-Y.2    Lu, M.3    Li, H.4    Ma, W.-Y.5
  • 133
    • 84885592392 scopus 로고    scopus 로고
    • Exploiting the hierarchical structure for link analysis
    • G.-R. Xue, Q. Yang, H.-J. Zeng, Y. Yu, and Z. Chen, "Exploiting the hierarchical structure for link analysis", in SIGIR 2005, pp. 186-193, 2005.
    • (2005) SIGIR 2005 , pp. 186-193
    • Xue, G.-R.1    Yang, Q.2    Zeng, H.-J.3    Yu, Y.4    Chen, Z.5
  • 135
    • 32344452411 scopus 로고    scopus 로고
    • SVM selective sampling for ranking with application to data retrieval
    • H. Yu, "SVM selective sampling for ranking with application to data retrieval", in KDD 2005, pp. 354-363, 2005.
    • (2005) KDD 2005 , pp. 354-363
    • Yu, H.1
  • 136
    • 36448983903 scopus 로고    scopus 로고
    • A support vector method for optimizing average precision
    • Y. Yue, T. Finley, F. Radlinski, and T. Joachims, "A support vector method for optimizing average precision", in SIGIR 2007, pp. 271-278, 2007.
    • (2007) SIGIR 2007 , pp. 271-278
    • Yue, Y.1    Finley, T.2    Radlinski, F.3    Joachims, T.4
  • 137
    • 56449130129 scopus 로고    scopus 로고
    • Predicting diverse subsets using structural SVM
    • Y. Yue and T. Joachims, "Predicting diverse subsets using structural SVM", in ICML 2008, pp. 1224-1231, 2008.
    • (2008) ICML 2008 , pp. 1224-1231
    • Yue, Y.1    Joachims, T.2
  • 139
    • 1542347826 scopus 로고    scopus 로고
    • Beyond independent relevance: Methods and evaluation metrics for subtopic retrieval
    • C. Zhai, W. W. Cohen, and J. Lafferty, "Beyond independent relevance: Methods and evaluation metrics for subtopic retrieval", in SIGIR 2003, pp. 10-17, 2003.
    • (2003) SIGIR 2003 , pp. 10-17
    • Zhai, C.1    Cohen, W.W.2    Lafferty, J.3
  • 140
    • 0035747335 scopus 로고    scopus 로고
    • Model-based feedback in the language modeling approach to Information Retrieval
    • C. Zhai and J. Lafferty, "Model-based feedback in the language modeling approach to information retrieval", in CIKM 2001, pp. 403-410, 2001.
    • (2001) CIKM 2001 , pp. 403-410
    • Zhai, C.1    Lafferty, J.2
  • 141
    • 23644435310 scopus 로고    scopus 로고
    • A risk minimization framework for Information Retrieval
    • C. Zhai and J. Lafferty, "A risk minimization framework for information retrieval", Information Processing and Management, vol. 42, pp. 31-55, 2006.
    • (2006) Information Processing and Management , vol.42 , pp. 31-55
    • Zhai, C.1    Lafferty, J.2
  • 143
    • 57349131020 scopus 로고    scopus 로고
    • Learning to rank with ties
    • K. Zhou, G.-R. Xue, H. Zha, and Y. Yu, "Learning to rank with ties", in SIGIR 2008, pp. 275-282, 2008.
    • (2008) SIGIR 2008 , pp. 275-282
    • Zhou, K.1    Xue, G.-R.2    Zha, H.3    Yu, Y.4


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