메뉴 건너뛰기




Volumn , Issue , 2009, Pages 1281-1288

Global ranking using Continuous Conditional Random Fields

Author keywords

[No Author keywords available]

Indexed keywords

PROBABILITY DISTRIBUTIONS; RANDOM PROCESSES; SEARCH ENGINES;

EID: 84863379285     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (109)

References (19)
  • 1
    • 33750729556 scopus 로고    scopus 로고
    • Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
    • M. Belkin, P. Niyogi, and V. Sindhwani. Manifold regularization: A geometric framework for learning from labeled and unlabeled examples. J. Mach. Learn. Res., 7:2399-2434, 2006. (Pubitemid 44708005)
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 2399-2434
    • Belkin, M.1    Niyogi, P.2    Sindhwani, V.3
  • 2
    • 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 '07, pages 129-136, 2007.
    • (2007) ICML '07 , pp. 129-136
    • Cao, Z.1    Qin, T.2    Liu, T.-Y.3    Tsai, M.-F.4    Li, H.5
  • 4
    • 36849083663 scopus 로고    scopus 로고
    • Co-clustering documents and words using bipartite spectral graph partitioning
    • I. S. Dhillon. Co-clustering documents and words using bipartite spectral graph partitioning. In KDD '01.
    • KDD '01
    • Dhillon, I.S.1
  • 6
    • 1842637192 scopus 로고    scopus 로고
    • Cumulated gain-based evaluation of IR techniques
    • DOI 10.1145/582415.582418
    • K. Järvelin and J. Kekäläinen. Cumulated gain-based evaluation of ir techniques. ACM Trans. Inf. Syst., 20(4):422-446, 2002. (Pubitemid 44642296)
    • (2002) ACM Transactions on Information Systems , vol.20 , Issue.4 , pp. 422-446
    • Jarvelin, K.1    Kekalainen, J.2
  • 7
    • 0242456822 scopus 로고    scopus 로고
    • Optimizing search engines using clickthrough data
    • T. Joachims. Optimizing search engines using clickthrough data. In KDD '02, pages 133-142, 2002.
    • (2002) KDD '02 , pp. 133-142
    • Joachims, T.1
  • 8
    • 0021649235 scopus 로고
    • Document-document similarity measure based on cited titles and probability theory, and its application to relevance feedback retrieval
    • K. L. Kwok. A document-document similarity measure based on cited titles and probability theory, and its application to relevance feedback retrieval. In SIGIR '84, pages 221-231, 1984. (Pubitemid 17645701)
    • (1984) SIGIR '84 , pp. 221-231
    • Kwok, K.L.1
  • 9
    • 84976820773 scopus 로고
    • Algorithm 582: The gibbs-poole-stockmeyer and gibbs-king algorithms for reordering sparse matrices
    • J. G. Lewis. Algorithm 582: The gibbs-poole-stockmeyer and gibbs-king algorithms for reordering sparse matrices. ACM Trans. Math. Softw., 8(2):190-194, 1982.
    • (1982) ACM Trans. Math. Softw. , vol.8 , Issue.2 , pp. 190-194
    • Lewis, J.G.1
  • 10
    • 45449095122 scopus 로고    scopus 로고
    • Benchmark dataset for research on learning to rank for information retrieval
    • T.-Y. Liu, J. Xu, T. Qin, W.-Y. Xiong, and H. Li. Letor: Benchmark dataset for research on learning to rank for information retrieval. In SIGIR '07 Workshop, 2007.
    • (2007) SIGIR '07 Workshop
    • Liu, T.-Y.1    Xu, J.2    Qin, T.3    Xiong, W.-Y.4    Li Letor, H.5
  • 11
    • 84885575844 scopus 로고    scopus 로고
    • A study of relevance propagation for web search
    • T. Qin, T.-Y. Liu, X.-D. Zhang, Z. Chen, andW.-Y. Ma. A study of relevance propagation for web search. In SIGIR '05, pages 408-415, 2005.
    • (2005) SIGIR '05 , pp. 408-415
    • Qin, T.1    Liu, T.-Y.2    Zhang, X.-D.3    Chen, Z.4    Ma, W.-Y.5
  • 16
    • 33750032384 scopus 로고    scopus 로고
    • An introduction to conditional random fields for relational learning
    • L. Getoor and B. Taskar, editors. MIT Press
    • C. Sutton and A. McCallum. An introduction to conditional random fields for relational learning. In L. Getoor and B. Taskar, editors, Introduction to Statistical Relational Learning. MIT Press, 2006.
    • (2006) Introduction to Statistical Relational Learning
    • Sutton, C.1    McCallum, A.2
  • 17
    • 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 '06, pages 162-169, 2006.
    • (2006) SIGIR '06 , pp. 162-169
    • Tao, T.1    Zhai, C.2
  • 18
    • 1542347826 scopus 로고    scopus 로고
    • Beyond independent relevance: Methods and evaluation metrics for subtopic retrieval
    • C. X. Zhai,W.W. Cohen, and J. Lafferty. Beyond independent relevance: methods and evaluation metrics for subtopic retrieval. In SIGIR '03, pages 10-17, 2003.
    • (2003) SIGIR '03 , pp. 10-17
    • Zhai, C.X.1    Cohen, W.W.2    Lafferty, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.