Skip to main content
SpringerLink
Log in

Probabilistic Retrieval, Component Fusion and Blind Feedback for XML Retrieval

  • Conference paper
Book cover Advances in XML Information Retrieval and Evaluation (INEX 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3977))

  • 371 Accesses

Abstract

This paper describes the retrieval approaches used by UC Berkeley in our official submissions for the various Adhoc tasks. As in previous INEX evaluations, the main technique we are testing is the fusion of multiple probabilistic searches against different XML components using different probabilistic retrieval algorithms. In addition this year we began to use a different fusion/combination method from previous years. This year we also continued to use re-estimated Logistic Regression (LR) parameters for different components of the IEEE document collection, estimated using relevance judgements from the INEX 2003 evaluation. All of our runs were fully automatic with no manual editing or interactive submission of queries, and all used only the title elements of the INEX topics.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Chen, A.: Multilingual information retrieval using english and chinese queries. In: Peters, C., Braschler, M., Gonzalo, J., Kluck, M. (eds.) CLEF 2001. LNCS, vol. 2406, pp. 44–58. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  2. Chen, A.: Cross-Language Retrieval Experiments at CLEF 2002. In: Peters, C., Braschler, M., Gonzalo, J. (eds.) CLEF 2002. LNCS, vol. 2785, pp. 28–48. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  3. Chen, A., Gey, F.C.: Multilingual information retrieval using machine translation, relevance feedback and decompounding. Information Retrieval 7, 149–182 (2004)

    Article  Google Scholar 

  4. Cooper, W.S., Chen, A., Gey, F.C.: Full Text Retrieval based on Probabilistic Equations with Coefficients fitted by Logistic Regression. In: Text REtrieval Conference (TREC-2), pp. 57–66 (1994)

    Google Scholar 

  5. Cooper, W.S., Gey, F.C., Chen, A.: Full text retrieval based on a probabilistic equation with coefficients fitted by logistic regression. In: Harman, D.K. (ed.) The Second Text Retrieval Conference (TREC-2) (NIST Special Publication 500-215), Gaithersburg, MD, National Institute of Standards and Technology, pp. 57–66 (1994)

    Google Scholar 

  6. Cooper, W.S., Gey, F.C., Dabney, D.P.: Probabilistic retrieval based on staged logistic regression. In: 15th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Copenhagen, Denmark, June 21-24, pp. 198–210. ACM Press, New York (1992)

    Google Scholar 

  7. Harman, D.: Relevance feedback and other query modification techniques. In: Frakes, W., Baeza-Yates, R. (eds.) Information Retrieval: Data Structures & Algorithms, pp. 241–263. Prentice-Hall, Englewood Cliffs (1992)

    Google Scholar 

  8. Larson, R.R.: TREC interactive with cheshire II. Information Processing and Management 37, 485–505 (2001)

    Article  MATH  Google Scholar 

  9. Larson, R.R.: A logistic regression approach to distributed IR. In: SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Tampere, Finland, August 11-15, 2002, pp. 399–400. ACM, New York (2002)

    Chapter  Google Scholar 

  10. Larson, R.R.: Cheshire II at INEX ’04: Fusion and feedback for the adhoc and heterogeneous tracks. In: Fuhr, N., Lalmas, M., Malik, S., Szlávik, Z. (eds.) INEX 2004. LNCS, vol. 3493, pp. 322–336. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  11. Larson, R.R.: A fusion approach to XML structured document retrieval. Information Retrieval 8, 601–629 (2005)

    Article  Google Scholar 

  12. Lee, J.H.: Analyses of multiple evidence combination. In: SIGIR 1997: Proceedings of the 20th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Philadelphia, July 27-31, 1997, pp. 267–276. ACM, New York (1997)

    Google Scholar 

  13. Mass, Y., Mandelbrod, M.: Component ranking and automatic query refinement for XML retrieval. In: Fuhr, N., Lalmas, M., Malik, S., Szlávik, Z. (eds.) INEX 2004. LNCS, vol. 3493, pp. 73–84. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  14. Robertson, S.E., Jones, K.S.: Relevance weighting of search terms. Journal of the American Society for Information Science, 129–146 (May-June 1976)

    Google Scholar 

  15. Shaw, J.A., Fox, E.A.: Combination of multiple searches. In: Proceedings of the 2nd Text REtrieval Conference (TREC-2), National Institute of Standards and Technology Special Publication 500-215, pp. 243–252 (1994)

    Google Scholar 

  16. Voorhees, E., Harman, D. (eds.): The Seventh Text Retrieval Conference (TREC-7), NIST (1998)

    Google Scholar 

  17. Voorhees, E., Harman, D. (eds.): The Eighth Text Retrieval Conference (TREC-8), NIST (1999)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Information Management and Systems, University of California, Berkeley, California, 94720-4600, USA

    Ray R. Larson

Authors
  1. Ray R. Larson
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. University of Duisburg-Essen, Duisburg, Germany

    Norbert Fuhr

  2. Queen Mary, University of London, London, UK

    Mounia Lalmas

  3. University Duisburg-Essen, Germany

    Saadia Malik

  4. Microsoft Research Cambridge, United Kingdom

    Gabriella Kazai

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Larson, R.R. (2006). Probabilistic Retrieval, Component Fusion and Blind Feedback for XML Retrieval. In: Fuhr, N., Lalmas, M., Malik, S., Kazai, G. (eds) Advances in XML Information Retrieval and Evaluation. INEX 2005. Lecture Notes in Computer Science, vol 3977. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-34963-1_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-34963-1_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34962-4

  • Online ISBN: 978-3-540-34963-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation