Skip to main content
SpringerLink
Log in

A Fuzzy Integral Method to Merge Search Engine Results on Web

  • Conference paper
Computational Intelligence and Security (CIS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3802))

Included in the following conference series:

Abstract

Distributed information retrieval searches information among many disjoint databases or search engine results and merge of retrieved results into a single result list that a person can browse easily. How to merge the results returned by selected search engine is an important subproblem of the distributed information retrieval task, because every search engine has its own calculation or definition about relevance of documents and has different overlap range. This article presents a fuzzy integral algorithm to solve the merging results problem. We have also a procedure for adjusting fuzzy measure parameters by training. Compared to the method of relevance scores fusion and Borda count fusion, our approach has the excellent ability to balance between chore effects and dark horse effects. The experiments on web show that our approach gets better ranked results (more useful documents on top ranked).

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 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

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. Callan, J.: Distributed information retrieval. In: Croft, W.B. (ed.) Advances in Information Retrieval, pp. 127–150. Kluwer Academic Pub., Dordrecht (2000)

    Google Scholar 

  2. Fox, E.A., Shaw, J.A.: Combination of multiple searches. In: Harman, D. (ed.) The Second Text Retrieval Conference (TREC-2), Gaithersburg, MD, USA, March 1994, pp. 243–249 (1994)

    Google Scholar 

  3. Saari, D.G.: Explaining all three-alternative voting outcomes. Journal of Economic Theory 87(2), 313–355 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  4. Aslam, J.A., Montague, M.: Models for Metasearch. In: SIGIR 2001 New Orleans Louisiana USA, September 9-12, pp. 276–284 (2001)

    Google Scholar 

  5. Aslam, J.A., Montague, M.: Bayes Optimal Metasearch: A Probabilistic Model for Combining the Results of Multiple Retrieval Systems. In: SIGIR 2000, Athens Greece, July 2000, pp. 379–381 (2000)

    Google Scholar 

  6. Si, L., Callan, J.: A Semisupervised Learning Method to Merge Search Engine Results. ACM Transactions on Information Systems 21(4), 457–491 (2003)

    Article  Google Scholar 

  7. Vogt, C.C., Cottrell, G.W.: Fusion Via a Linear Combination of Scores. Information Retrieval 1, 151–173 (1999)

    Article  Google Scholar 

  8. Sugeno, M.: Fuzzy mesures and fuzzy integrals. In: Gupta, M.M., Saridis, G.N., Gaines, B.R. (eds.) A survey, in Fuzzy Automata and Decision Processes, pp. 89–102. North-Holland, Amsterdam (1977)

    Google Scholar 

  9. Keller, J.M., Osborn, J.: Training the Fuzzy Integral. International Journal of Approximate Reasoning 15, 1–24 (1996)

    Article  MATH  Google Scholar 

  10. Lewis, D.D.: The TREC-4 filtering track. In: Harman, D. (ed.) The Third Text REtrieual Conference (TREC-4). Washington DC, U.S. Department of Commerce, pp. 165–180 (1996)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Electronic and Information Engineering, Xi’an JiaoTong University, Xi’an, 710049, China

    Shuning Cui & Boqin Feng

Authors
  1. Shuning Cui
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Boqin Feng
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Microelectronic Instiute, Xidian University, 710071, Xi’an, China

    Yue Hao

  2. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong

    Jiming Liu

  3. School of Computer Science and Technology, Xidian University, Xi’an, China

    Yu-Ping Wang

  4. Department of Computer Science, Hong Kong Baptist University, Hong Kong,  

    Yiu-ming Cheung

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

  6. Life Science Research Center, School of Electronic Engineering, Xidian University, 710071, Xi’an, Shaanxi, China

    Licheng Jiao

  7. Key Laboratory of Computer Networks and Information Security(Ministry of Education), Xidian University, 710071, Xi’an, China

    Jianfeng Ma

  8. National Laboratory of Antennas and Microwave Technology, Xidian University, 710071, Xi’an, Shanxi, P.R. China

    Yong-Chang Jiao

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Cui, S., Feng, B. (2005). A Fuzzy Integral Method to Merge Search Engine Results on Web. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3802. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596981_107

Download citation

  • DOI: https://doi.org/10.1007/11596981_107

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30819-5

  • Online ISBN: 978-3-540-31598-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation