메뉴 건너뛰기




Volumn , Issue , 2011, Pages 600-608

Latent topic feedback for information retrieval

Author keywords

Latent topic models; User feedback

Indexed keywords

INFORMATION RETRIEVAL;

EID: 80052676107     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2020408.2020503     Document Type: Conference Paper
Times cited : (44)

References (37)
  • 1
    • 71149108475 scopus 로고    scopus 로고
    • Incorporating domain knowledge into topic modeling via Dirichlet forest priors
    • Omnipress
    • D. Andrzejewski, X. Zhu, and M. Craven. Incorporating domain knowledge into topic modeling via Dirichlet forest priors. In ICML, pages 25-32. Omnipress, 2009.
    • (2009) ICML , pp. 25-32
    • Andrzejewski, D.1    Zhu, X.2    Craven, M.3
  • 4
    • 0141607824 scopus 로고    scopus 로고
    • Latent dirichlet allocation
    • D. Blei, A. Ng, and M. Jordan. Latent Dirichlet allocation. JMLR, 3:993-1022, 2003.
    • (2003) JMLR , vol.3 , pp. 993-1022
    • Blei, D.1    Ng, A.2    Jordan, M.3
  • 5
    • 0345863927 scopus 로고    scopus 로고
    • The unified medical language system (UMLS): Integrating biomedical terminology
    • O. Bodenreider. The Unified Medical Language System (UMLS): integrating biomedical terminology. Nucleic Acids Research, 32(suppl 1):D267-D270, 2004.
    • (2004) Nucleic Acids Research , vol.32 , Issue.SUPPL. 1 , pp. 267-270
    • Bodenreider, O.1
  • 6
    • 0002039278 scopus 로고
    • Automatic query expansion using SMART: TREC 3
    • NIST
    • C. Buckley, G. Salton, J. Allan, and A. Singhal. Automatic query expansion using SMART: TREC 3. In TREC, pages 69-80. NIST, 1994.
    • (1994) TREC , pp. 69-80
    • Buckley, C.1    Salton, G.2    Allan, J.3    Singhal, A.4
  • 7
    • 57549091418 scopus 로고    scopus 로고
    • Modeling documents by combining semantic concepts with unsupervised statistical learning
    • Springer
    • C. Chemudugunta, A. Holloway, P. Smyth, and M. Steyvers. Modeling documents by combining semantic concepts with unsupervised statistical learning. In ISWC, pages 229-244. Springer, 2008.
    • (2008) ISWC , pp. 229-244
    • Chemudugunta, C.1    Holloway, A.2    Smyth, P.3    Steyvers, M.4
  • 13
    • 85162005069 scopus 로고    scopus 로고
    • Online learning for latent Dirichlet allocation
    • MIT Press
    • M. Hoffman, D. Blei, and F. Bach. Online learning for latent Dirichlet allocation. In NIPS, pages 856-864. MIT Press, 2010.
    • (2010) NIPS , pp. 856-864
    • Hoffman, M.1    Blei, D.2    Bach, F.3
  • 14
    • 57349115984 scopus 로고    scopus 로고
    • Personalized interactive faceted search
    • New York, NY, USA, ACM
    • J. Koren, Y. Zhang, and X. Liu. Personalized interactive faceted search. In WWW, pages 477-486, New York, NY, USA, 2008. ACM.
    • (2008) WWW , pp. 477-486
    • Koren, J.1    Zhang, Y.2    Liu, X.3
  • 15
    • 80052660921 scopus 로고    scopus 로고
    • Best topic word selection for topic labelling
    • Coling 2010 Organizing Committee
    • J. H. Lau, D. Newman, S. Karimi, and T. Baldwin. Best topic word selection for topic labelling. In Coling 2010: Posters, pages 605-613. Coling 2010 Organizing Committee, 2010.
    • (2010) Coling 2010: Posters , pp. 605-613
    • Lau, J.H.1    Newman, D.2    Karimi, S.3    Baldwin, T.4
  • 16
    • 33749249041 scopus 로고    scopus 로고
    • Pachinko allocation: DAG-structured mixture models of topic correlations
    • ACM
    • W. Li and A. McCallum. Pachinko allocation: DAG-structured mixture models of topic correlations. In ICML, pages 577-584. ACM, 2006.
    • (2006) ICML , pp. 577-584
    • Li, W.1    McCallum, A.2
  • 18
    • 65449189631 scopus 로고    scopus 로고
    • Mining multi-faceted overviews of arbitrary topics in a text collection
    • ACM
    • X. Ling, Q. Mei, C. Zhai, and B. Schatz. Mining multi-faceted overviews of arbitrary topics in a text collection. In KDD, pages 497-505. ACM, 2008.
    • (2008) KDD , pp. 497-505
    • Ling, X.1    Mei, Q.2    Zhai, C.3    Schatz, B.4
  • 19
    • 84455205631 scopus 로고    scopus 로고
    • Learning to rank for information retrieval
    • T.-Y. Liu. Learning to rank for information retrieval. In SIGIR Tutorials, page 904, 2010.
    • (2010) SIGIR Tutorials , pp. 904
    • Liu, T.-Y.1
  • 20
    • 80052689046 scopus 로고    scopus 로고
    • Investigating task performance of probabilistic topic models: An empirical study of PLSA and LDA
    • Y. Lu, Q. Mei, and C. Zhai. Investigating task performance of probabilistic topic models: an empirical study of PLSA and LDA. Information Retrieval, pages 1-26, 2010.
    • (2010) Information Retrieval , pp. 1-26
    • Lu, Y.1    Mei, Q.2    Zhai, C.3
  • 22
    • 3042817631 scopus 로고    scopus 로고
    • Combining the language model and inference network approaches to retrieval
    • D. Metzler and W. B. Croft. Combining the language model and inference network approaches to retrieval. Inf. Process. Manage., 40:735-750, 2004.
    • (2004) Inf. Process. Manage. , vol.40 , pp. 735-750
    • Metzler, D.1    Croft, W.B.2
  • 23
    • 36348944093 scopus 로고    scopus 로고
    • Organizing the OCA: Learning faceted subjects from a library of digital books
    • DOI 10.1145/1255175.1255249, Proceedings of the 7th ACM/IEEE Joint Conference on Digital Libraries, JCDL 2007: Building and Sustaining the Digital Environment
    • D. M. Mimno and A. McCallum. Organizing the OCA: learning faceted subjects from a library of digital books. In JCDL, pages 376-385. ACM, 2007. (Pubitemid 350158008)
    • (2007) Proceedings of the ACM International Conference on Digital Libraries , pp. 376-385
    • Mimno, D.1    McCallum, A.2
  • 24
    • 1842751687 scopus 로고    scopus 로고
    • Expectation-propagation for the generative aspect model
    • Morgan Kaufmann
    • T. Minka and J. Lafferty. Expectation-propagation for the generative aspect model. In UAI, pages 352-359. Morgan Kaufmann, 2002.
    • (2002) UAI , pp. 352-359
    • Minka, T.1    Lafferty, J.2
  • 25
    • 79960498353 scopus 로고    scopus 로고
    • Automatic evaluation of topic coherence
    • Morristown, NJ, USA, ACL
    • D. Newman, J. H. Lau, K. Grieser, and T. Baldwin. Automatic evaluation of topic coherence. In HLT-NAACL, pages 100-108, Morristown, NJ, USA, 2010. ACL.
    • (2010) HLT-NAACL , pp. 100-108
    • Newman, D.1    Lau, J.H.2    Grieser, K.3    Baldwin, T.4
  • 26
    • 77955114158 scopus 로고    scopus 로고
    • Evaluating topic models for digital libraries
    • ACM
    • D. Newman, Y. Noh, E. Talley, S. Karimi, and T. Baldwin. Evaluating topic models for digital libraries. In JCDL, pages 215-224. ACM, 2010.
    • (2010) JCDL , pp. 215-224
    • Newman, D.1    Noh, Y.2    Talley, E.3    Karimi, S.4    Baldwin, T.5
  • 27
    • 70349949066 scopus 로고    scopus 로고
    • The sensitivity of latent Dirichlet allocation for information retrieval
    • Springer-Verlag
    • L. A. Park and K. Ramamohanarao. The sensitivity of latent Dirichlet allocation for information retrieval. In ECML PKDD, pages 176-188. Springer-Verlag, 2009.
    • (2009) ECML PKDD , pp. 176-188
    • Park, L.A.1    Ramamohanarao, K.2
  • 28
    • 80052119994 scopus 로고    scopus 로고
    • An architecture for parallel topic models
    • A. Smola and S. Narayanamurthy. An architecture for parallel topic models. Proc. VLDB Endow., 3:703-710, 2010.
    • (2010) Proc. VLDB Endow , vol.3 , pp. 703-710
    • Smola, A.1    Narayanamurthy, S.2
  • 29
    • 84858425558 scopus 로고    scopus 로고
    • Automating creation of hierarchical faceted metadata structures
    • Rochester, New York, April, ACL
    • E. Stoica, M. Hearst, and M. Richardson. Automating creation of hierarchical faceted metadata structures. In HLT-NAACL, pages 244-251, Rochester, New York, April 2007. ACL.
    • (2007) HLT-NAACL , pp. 244-251
    • Stoica, E.1    Hearst, M.2    Richardson, M.3
  • 30
    • 84864061876 scopus 로고    scopus 로고
    • A collapsed variational Bayesian inference algorithm for latent Dirichlet allocation
    • MIT Press
    • Y. W. Teh, D. Newman, and M. Welling. A collapsed variational Bayesian inference algorithm for latent Dirichlet allocation. In In NIPS. MIT Press, 2007.
    • (2007) NIPS
    • Teh, Y.W.1    Newman, D.2    Welling, M.3
  • 33
    • 33750327222 scopus 로고    scopus 로고
    • LDA-based document models for ad-hoc retrieval
    • ACM
    • X. Wei and W. B. Croft. LDA-based document models for ad-hoc retrieval. In SIGIR, pages 178-185. ACM, 2006.
    • (2006) SIGIR , pp. 178-185
    • Wei, X.1    Croft, W.B.2
  • 34
    • 33846453561 scopus 로고    scopus 로고
    • Examining the effectiveness of real-time query expansion
    • DOI 10.1016/j.ipm.2006.06.005, PII S0306457306000951
    • R. W. White and G. Marchionini. Examining the effectiveness of real-time query expansion. Inf. Process. Manage., 43:685-704, 2007. (Pubitemid 46149963)
    • (2007) Information Processing and Management , vol.43 , Issue.3 , pp. 685-704
    • White, R.W.1    Marchionini, G.2
  • 35
    • 0038037309 scopus 로고    scopus 로고
    • Faceted metadata for image search and browsing
    • ACM
    • K.-P. Yee, K. Swearingen, K. Li, and M. Hearst. Faceted metadata for image search and browsing. In CHI, pages 401-408. ACM, 2003.
    • (2003) CHI , pp. 401-408
    • Yee, K.-P.1    Swearingen, K.2    Li, K.3    Hearst, M.4
  • 36
    • 67650696922 scopus 로고    scopus 로고
    • A comparative study of utilizing topic models for information retrieval
    • Springer-Verlag
    • X. Yi and J. Allan. A comparative study of utilizing topic models for information retrieval. In ECIR, pages 29-41. Springer-Verlag, 2009.
    • (2009) ECIR , pp. 29-41
    • Yi, X.1    Allan, J.2
  • 37
    • 77956016469 scopus 로고    scopus 로고
    • Interactive retrieval based on faceted feedback
    • ACM
    • L. Zhang and Y. Zhang. Interactive retrieval based on faceted feedback. In SIGIR, pages 363-370. ACM, 2010.
    • (2010) SIGIR , pp. 363-370
    • Zhang, L.1    Zhang, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.