A novel re-ranking approach inspired by quantum measurement

Xiaozhao Zhao; Peng Zhang; Dawei Song; Yuexian Hou

doi:10.1007/978-3-642-20161-5_79

A novel re-ranking approach inspired by quantum measurement

Xiaozhao Zhao, Peng Zhang, Dawei Song, Yuexian Hou

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

19 Citations (Scopus)

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 “quan-tum measurement”. 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.

Original language	English
Title of host publication	Advances in Information Retrieval - 33rd European Conference on IR Research, ECIR 2011, Proceedings
Editors	Paul Clough, Colum Foley, Cathal Gurrin, Hyowon Lee, Gareth J.F. Jones, Wessel Kraaij, Vanessa Murdoch
Publisher	Springer Verlag
Pages	721-724
Number of pages	4
ISBN (Print)	9783642201608
DOIs	https://doi.org/10.1007/978-3-642-20161-5_79
Publication status	Published - 2011
Externally published	Yes
Event	33rd European Conference on Information Retrieval, ECIR 2011 - Dublin, Ireland Duration: 18 Apr 2011 → 21 Apr 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6611 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	33rd European Conference on Information Retrieval, ECIR 2011
Country/Territory	Ireland
City	Dublin
Period	18/04/11 → 21/04/11

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10.1007/978-3-642-20161-5_79

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Zhao, X., Zhang, P., Song, D., & Hou, Y. (2011). A novel re-ranking approach inspired by quantum measurement. In P. Clough, C. Foley, C. Gurrin, H. Lee, G. J. F. Jones, W. Kraaij, & V. Murdoch (Eds.), Advances in Information Retrieval - 33rd European Conference on IR Research, ECIR 2011, Proceedings (pp. 721-724). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6611 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-642-20161-5_79

Zhao, Xiaozhao ; Zhang, Peng ; Song, Dawei et al. / A novel re-ranking approach inspired by quantum measurement. Advances in Information Retrieval - 33rd European Conference on IR Research, ECIR 2011, Proceedings. editor / Paul Clough ; Colum Foley ; Cathal Gurrin ; Hyowon Lee ; Gareth J.F. Jones ; Wessel Kraaij ; Vanessa Murdoch. Springer Verlag, 2011. pp. 721-724 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "A novel re-ranking approach inspired by quantum measurement",

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 “quan-tum measurement”. 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.",

author = "Xiaozhao Zhao and Peng Zhang and Dawei Song and Yuexian Hou",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2011.; 33rd European Conference on Information Retrieval, ECIR 2011 ; Conference date: 18-04-2011 Through 21-04-2011",

year = "2011",

doi = "10.1007/978-3-642-20161-5_79",

language = "English",

isbn = "9783642201608",

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Zhao, X, Zhang, P, Song, D & Hou, Y 2011, A novel re-ranking approach inspired by quantum measurement. in P Clough, C Foley, C Gurrin, H Lee, GJF Jones, W Kraaij & V Murdoch (eds), Advances in Information Retrieval - 33rd European Conference on IR Research, ECIR 2011, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6611 LNCS, Springer Verlag, pp. 721-724, 33rd European Conference on Information Retrieval, ECIR 2011, Dublin, Ireland, 18/04/11. https://doi.org/10.1007/978-3-642-20161-5_79

A novel re-ranking approach inspired by quantum measurement. / Zhao, Xiaozhao; Zhang, Peng; Song, Dawei et al.
Advances in Information Retrieval - 33rd European Conference on IR Research, ECIR 2011, Proceedings. ed. / Paul Clough; Colum Foley; Cathal Gurrin; Hyowon Lee; Gareth J.F. Jones; Wessel Kraaij; Vanessa Murdoch. Springer Verlag, 2011. p. 721-724 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6611 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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 “quan-tum measurement”. 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.

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Zhao X, Zhang P, Song D, Hou Y. A novel re-ranking approach inspired by quantum measurement. In Clough P, Foley C, Gurrin C, Lee H, Jones GJF, Kraaij W, Murdoch V, editors, Advances in Information Retrieval - 33rd European Conference on IR Research, ECIR 2011, Proceedings. Springer Verlag. 2011. p. 721-724. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-20161-5_79

A novel re-ranking approach inspired by quantum measurement

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