Abstract
Even the best information retrieval model cannot always identify the most useful answers to a user query. This is in particular the case with web search systems, where it is known that users tend to minimise their effort to access relevant information. It is, however, believed that the interaction between users and a retrieval system, such as a web search engine, can be exploited to provide better answers to users. Interactive Information Retrieval (IR) systems, in which users access information through a series of interactions with the search system, are concerned with building models for IR, where interaction plays a central role. In this paper, we propose a general framework for interactive IR that is able to capture the full interaction process in a principled way. Our approach relies upon a generalisation of the probability framework of quantum physics.
Keywords
- Information Retrieval
- Density Operator
- Relevance Feedback
- Information Retrieval System
- Quantum Probability
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
An extended version of this paper [1] contains the discussion about related works, a tutorial section about the relationship between quantum and classical probabilities, and an example of how the quantum formalism can be used to extend the Rocchio algorithm.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Piwowarski, B., Lalmas, M.: A Quantum-based Model for Interactive Information Retrieval (extended version). ArXiv e-prints (0906.4026) (2009)
Sparck Jones, K.: What’s the value of TREC: is there a gap to jump or a chasm to bridge? SIGIR Forum. 40(1), 10–20 (2006)
Ingwersen, P., Järvelin, K.: The Turn: Integration of Information Seeking and Retrieval in Context. The Information Retrieval Series. Springer, USA (2005)
Rocchio, J.J.: Relevance feedback in information retrieval. In: Salton, G. (ed.) The SMART retrieval system: experiments in automatic document processing, pp. 313–323. Prentice-Hall, Englewood Cliffs (1971)
Walker, S., Robertson, S.E.: Okapi/keenbow at TREC-8. In: Voorhees, E.M., Harman, D.K. (eds.) NIST Special Publication 500-246: The Eighth Text REtrieval Conference (TREC-8), Gaithersburg, Maryland, USA (November 1999)
Melucci, M.: A basis for information retrieval in context. ACM Transactions on Information Systems 26(3), 1–41 (2008)
Shen, X., Tan, B., Zhai, C.: Implicit user modeling for personalized search. In: Proceedings of the 14th ACM international conference on Information and knowledge management, Bremen, Germany, pp. 824–831. ACM, New York (2005)
Xu, Y.: The dynamics of interactive information retrieval behavior, part i: An activity theory perspective. Journal of the American Society for Information Science and Technology 58(7), 958–970 (2007)
van Rijsbergen, C.J.: The Geometry of Information Retrieval. Cambridge University Press, New York (2004)
Wang, X., Fang, H., Zhai, C.: A study of methods for negative relevance feedback. In: Myaeng, S.H., Oard, D.W., Sebastiani, F., Chua, T.S., Leong, M.K. (eds.) Proceedings of the 31st Annual International ACM SIGIR, pp. 219–226. ACM, New York (2008)
Widdows, D.: Orthogonal negation in vector spaces for modelling word-meanings and document retrieval. In: Proceedings of the 41st ACL conference, Association for Computational Linguistics, Morristown, NJ, USA, pp. 136–143 (2003)
Zuccon, G., Azzopardi, L., van Rijsbergen, C.J.: Semantic spaces: Measuring the distance between different subspaces. In: Bruza, P., Sofge, D., Lawless, W., van Rijsbergen, C.J., Klusch, M. (eds.) Proceedings of the Third Quantum Interaction Symposium. LNCS (LNAI), vol. 5494. Springer, Heidelberg (2009)
Xie, H.I.: Shifts of interactive intentions and information-seeking strategies in interactive information retrieval. Journal of the American Society for Information Science 51(9), 841–857 (2000)
Aerts, D., Gabora, L.: A theory of concepts and their combinations II: A Hilbert space representation. Kybernetes 34 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Piwowarski, B., Lalmas, M. (2009). A Quantum-Based Model for Interactive Information Retrieval. In: Azzopardi, L., et al. Advances in Information Retrieval Theory. ICTIR 2009. Lecture Notes in Computer Science, vol 5766. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04417-5_20
Download citation
DOI: https://doi.org/10.1007/978-3-642-04417-5_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04416-8
Online ISBN: 978-3-642-04417-5
eBook Packages: Computer ScienceComputer Science (R0)