Skip to main content

Initial Specifications for the Design of Information Retrieval Systems Based on Quantum Detector Using Kinds

  • Conference paper
  • First Online:
Quantum Interaction (QI 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8369))

Included in the following conference series:

  • 857 Accesses

Abstract

In our recent work, we investigated how to use quantum detectors (detectors) for improving the effectiveness of Information Retrieval (IR) systems. The implementation of these detectors in IR is still an open problem. In this paper, we give the initial specifications for the design of the systems based on detectors using kinds. In particular, a probabilistic model of the kinds is introduced, and the use of them in ranking by probability of relevance and in relevance feedback are illustrated.

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

Access this chapter

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 EPUB and 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

References

  1. Croft, W., Metzler, D., Strohman, T.: Search Engines: Information Retrieval in Practice. Addison Wesley, New York (2009)

    Google Scholar 

  2. Hardegree, G.M.: An approach to the logic of natural kinds. Pac. Philos. Q. 63, 122–132 (1982)

    Google Scholar 

  3. Helstrom, C.: Quantum Detection and Estimation Theory. Academic Press, New York (1976)

    Google Scholar 

  4. Hughes, R.: The Structure and Interpretation of Quantum Mechanics. Harvard University Press, Cambridge (1989)

    Google Scholar 

  5. Kolmogorov, A.: Foundations of the Theory of Probability, II edn. Chelsea Publishing Company, New York (1956)

    MATH  Google Scholar 

  6. Melucci, M.: Deriving a quantum information retrieval basis. Comput. J. 6(4–5), 257–405 (2012)

    Google Scholar 

  7. Neyman, J., Pearson, E.: On the problem of the most efficient tests of statistical hypotheses. Philos. Trans. R. Soc. Lond. Ser. A 231, 289–337 (1933)

    Article  Google Scholar 

  8. Robertson, S.: The probability ranking principle in information retrieval. J. Doc. 33(4), 294–304 (1977)

    Article  Google Scholar 

  9. van Rijsbergen, K.: The Geometry of Information Retrieval. Cambridge University Press, Cambridge (2004)

    Book  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Massimo Melucci .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Melucci, M. (2014). Initial Specifications for the Design of Information Retrieval Systems Based on Quantum Detector Using Kinds. In: Atmanspacher, H., Haven, E., Kitto, K., Raine, D. (eds) Quantum Interaction. QI 2013. Lecture Notes in Computer Science(), vol 8369. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54943-4_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-54943-4_6

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54942-7

  • Online ISBN: 978-3-642-54943-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics