Zhao, Xiazhao; Zhang, Peng; Song, Dawei and Hou, Yuexian
Due to copyright restrictions, this file is not available for public download
Click here to request a copy from the OU Author.
|DOI (Digital Object Identifier) Link:||https://doi.org/10.1007/978-3-642-20161-5_79|
|Google Scholar:||Look up in Google Scholar|
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.
|Item Type:||Conference Item|
|Copyright Holders:||2011 Spriner-Verlag|
|Extra Information:||Published in P. Clough et al. (Eds.): ECIR 2011, LNCS 6611, pp.721-724, 2011|
|Academic Unit/School:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Depositing User:||Catherine McNulty|
|Date Deposited:||07 Aug 2012 15:37|
|Last Modified:||07 Dec 2016 16:45|
|Share this page:|