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Entropy 2016, 18(4), 146; doi:10.3390/e18040146

A Quantum Query Expansion Approach for Session Search

1
Tianjin Key Laboratory of Cognitive Computing and Application, School of Computer Science and Technology, Tianjin University, Tianjin 300354, China
2
Computing and Communications Department, The Open University, Milton Keynes MK7 6AA, UK
3
Department of Information Engineering, University of Padua, Padova PD 35122, Italy
This paper is an extended version of our published conference paper: Zhang, P.; Song, D.; Zhao, X.; Hou, Y. Investigating Query-Drift Problem from a Novel Perspective of Photon Polarization. In Proceedings of the ICTIR 2011, Bertinoro, Italy, 12–14 September 2011; pp. 332–336.
*
Author to whom correspondence should be addressed.
Academic Editors: Gregg Jaeger and Andrei Khrennikov
Received: 30 January 2016 / Revised: 9 April 2016 / Accepted: 11 April 2016 / Published: 18 April 2016
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Abstract

Recently, Quantum Theory (QT) has been employed to advance the theory of Information Retrieval (IR). Various analogies between QT and IR have been established. Among them, a typical one is applying the idea of photon polarization in IR tasks, e.g., for document ranking and query expansion. In this paper, we aim to further extend this work by constructing a new superposed state of each document in the information need space, based on which we can incorporate the quantum interference idea in query expansion. We then apply the new quantum query expansion model to session search, which is a typical Web search task. Empirical evaluation on the large-scale Clueweb12 dataset has shown that the proposed model is effective in the session search tasks, demonstrating the potential of developing novel and effective IR models based on intuitions and formalisms of QT. View Full-Text
Keywords: information retrieval; photon polarization; quantum interference; query expansion information retrieval; photon polarization; quantum interference; query expansion
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Zhang, P.; Li, J.; Wang, B.; Zhao, X.; Song, D.; Hou, Y.; Melucci, M. A Quantum Query Expansion Approach for Session Search. Entropy 2016, 18, 146.

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