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Zhao, Xiazhao; Zhang, Peng; Song, Dawei and Hou, Yuexian
(2011).
DOI: https://doi.org/10.1007/978-3-642-20161-5_79
URL: http://www.ecir2011.dcu.ie/
Abstract
Quantum theory (QT) has recently been employed to advance the theory of information retrieval (IR). A typical method, namely the Quantum Probability Ranking Principle (QPRP), was proposed to re-rank top retrieved documents by considering the inter-dependencies between documents through the “quantum interference”. In this paper, we attempt to explore another important QT concept, namely the “quantummeasurement”. Inspired by the photon polarization experiment underpinning the “quantum measurement”, we propose a novel re-ranking approach. Evaluation on several TREC data sets shows that in ad-hoc retrieval, our method can significantly improve the first round ranking from a baseline retrieval model, and also outperform the QPRP.Evaluation on several TREC data sets shows that in ad-hoc retrieval, our method can significantly improve the first-round ranking from a baseline retrieval model, and also outperform the QPRP.
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About
- Item ORO ID
- 34148
- Item Type
- Conference or Workshop Item
- Extra Information
- Published in P. Clough et al. (Eds.): ECIR 2011, LNCS 6611, pp.721-724, 2011
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Copyright Holders
- © 2011 Spriner-Verlag
- Depositing User
- Catherine McNulty