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Volumn , Issue , 2006, Pages 295-306

Applying data mining to pseudo-relevance feedback for high performance text retrieval

Author keywords

[No Author keywords available]

Indexed keywords

HIGH PERFORMANCE TEXT RETRIEVAL; LABELED PASSAGES; PSEUDO-RELEVANCE FEEDBACK;

EID: 84871054171     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2006.22     Document Type: Conference Paper
Times cited : (40)

References (36)
  • 1
    • 23744471189 scopus 로고    scopus 로고
    • HARD Track Overview in TREC 2004
    • NIST Special Publication
    • J. Allan. HARD Track Overview in TREC 2004. In Proceedings of TREC-13. NIST Special Publication, 2004.
    • (2004) Proceedings of TREC-13
    • Allan, J.1
  • 2
    • 10044242279 scopus 로고    scopus 로고
    • Challenges in IR and Language Modeling
    • J. Allan and et al. Challenges in IR and Language Modeling. SIGIR Forum, 37(1):31-47, 2003.
    • (2003) SIGIR Forum , vol.37 , Issue.1 , pp. 31-47
    • Allan, J.1    and et, al.2
  • 4
    • 0000274403 scopus 로고    scopus 로고
    • Exploiting Latent Semantic Information in Statistical Language Modeling
    • J. Bellegarda. Exploiting Latent Semantic Information in Statistical Language Modeling. Proceedings of the IEEE, 88(8):1279-1296, 2000.
    • (2000) Proceedings of the IEEE , vol.88 , Issue.8 , pp. 1279-1296
    • Bellegarda, J.1
  • 7
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • C. J. C. Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2):121-167, 1998.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.J.C.1
  • 8
  • 12
    • 0007950880 scopus 로고    scopus 로고
    • Enhancing Supervised Learning with Unlabeled Data
    • S. Goldman and Y. Zhou. Enhancing Supervised Learning with Unlabeled Data. In Proc. 17th ICML, 2000.
    • (2000) Proc. 17th ICML
    • Goldman, S.1    Zhou, Y.2
  • 15
    • 33845297941 scopus 로고    scopus 로고
    • York Univeristy at TREC 2004: Genomics and HARD Tracks
    • NIST Special Publication
    • X. Huang, Y. Huang, M. Wen, and M. Zhong. York Univeristy at TREC 2004: Genomics and HARD Tracks. In Proceedings of TREC-13. NIST Special Publication, 2004.
    • (2004) Proceedings of TREC-13
    • Huang, X.1    Huang, Y.2    Wen, M.3    Zhong, M.4
  • 18
    • 0033651655 scopus 로고    scopus 로고
    • Relevance Feedback with a Small Number of Relevance Judgements: Incremental Relevance Feedback vs. Document Clustering
    • M. Iwayama. Relevance Feedback with a Small Number of Relevance Judgements: Incremental Relevance Feedback vs. Document Clustering. In Proceedings of the 23rd annual international ACM SIGIR, pages 10-16, 2000.
    • (2000) Proceedings of the 23rd annual international ACM SIGIR , pp. 10-16
    • Iwayama, M.1
  • 19
    • 84878081813 scopus 로고    scopus 로고
    • T. Joachims. Transductive Inference for Text Classification using Support Vector Machines. In Proc. of the 16th ICML, pages 200-209, 1999.
    • T. Joachims. Transductive Inference for Text Classification using Support Vector Machines. In Proc. of the 16th ICML, pages 200-209, 1999.
  • 21
    • 18744395793 scopus 로고    scopus 로고
    • A Multi-System Analysis of Document and Term Selection for Blind Feedback
    • T. Lynam, C. Buckley, C. Clarke, and G. Cormack. A Multi-System Analysis of Document and Term Selection for Blind Feedback. In Proc. of CIKM'04, pages 261-269, 2004.
    • (2004) Proc. of CIKM'04 , pp. 261-269
    • Lynam, T.1    Buckley, C.2    Clarke, C.3    Cormack, G.4
  • 23
    • 0033886806 scopus 로고    scopus 로고
    • Text Classification from Labeled and Unlabelled Documents Using EM
    • K. Nigam, A. Mccallum, S. Thrun, and M. T. Text Classification from Labeled and Unlabelled Documents Using EM. Machine Learning, 39(2/3):103-134, 2000.
    • (2000) Machine Learning , vol.39 , Issue.2-3 , pp. 103-134
    • Nigam, K.1    Mccallum, A.2    Thrun, S.3    T., M.4
  • 24
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • J. C. Platt. Fast training of support vector machines using sequential minimal optimization. Advances in kernel methods: support vector learning, pages 185-208, 1999.
    • (1999) Advances in kernel methods: Support vector learning , pp. 185-208
    • Platt, J.C.1
  • 26
    • 0242625239 scopus 로고    scopus 로고
    • Combining Clustering and Co-training to Enhance Text Classification Using Unlabelled Data
    • B. Raskutti, H. Ferra, and A. Kowalczyk. Combining Clustering and Co-training to Enhance Text Classification Using Unlabelled Data. In Proceedings of the 8th Int. Conf. on KDD, pages 620-625, 2002.
    • (2002) Proceedings of the 8th Int. Conf. on KDD , pp. 620-625
    • Raskutti, B.1    Ferra, H.2    Kowalczyk, A.3
  • 27
    • 0016958419 scopus 로고
    • Relevance Weighting of Search Terms
    • S. Robertson and J. Sparck. Relevance Weighting of Search Terms. JASIS, 27(3):129-146, 1976.
    • (1976) JASIS , vol.27 , Issue.3 , pp. 129-146
    • Robertson, S.1    Sparck, J.2
  • 30
    • 0021518106 scopus 로고
    • A Theory of the Learnable
    • L. Valiant. A Theory of the Learnable. Communication of the ACM, 27(11):1134-1142, 1984.
    • (1984) Communication of the ACM , vol.27 , Issue.11 , pp. 1134-1142
    • Valiant, L.1
  • 35
    • 0035751902 scopus 로고    scopus 로고
    • Using LSI for Text Classification in the Presence of Background Text
    • S. Zelikovitz and H. Hirst. Using LSI for Text Classification in the Presence of Background Text. In Proc. of the 10th CIKM, pages 113-118, 2001.
    • (2001) Proc. of the 10th CIKM , pp. 113-118
    • Zelikovitz, S.1    Hirst, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.