Towards predicting relevance using a quantum-like framework

Emanuele Di Buccio; Massimo Melucci; Dawei Song

doi:10.1007/978-3-642-20161-5_87

Towards predicting relevance using a quantum-like framework

Emanuele Di Buccio, Massimo Melucci, Dawei Song

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

7 Citations (Scopus)

Abstract

In this paper, the user’s relevance state is modeled using quantum-like probability and the interference term is proposed so as to model the evolution of the state and the user’s uncertainty about the assessment. The theoretical framework has been formulated and the results of an experimental user study based on a TREC test collection have been reported.

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	755-758
Number of pages	4
ISBN (Print)	9783642201608
DOIs	https://doi.org/10.1007/978-3-642-20161-5_87
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

Access to Document

10.1007/978-3-642-20161-5_87

Cite this

Di Buccio, E., Melucci, M., & Song, D. (2011). Towards predicting relevance using a quantum-like framework. 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. 755-758). (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_87

Di Buccio, Emanuele ; Melucci, Massimo ; Song, Dawei. / Towards predicting relevance using a quantum-like framework. 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. 755-758 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "In this paper, the user{\textquoteright}s relevance state is modeled using quantum-like probability and the interference term is proposed so as to model the evolution of the state and the user{\textquoteright}s uncertainty about the assessment. The theoretical framework has been formulated and the results of an experimental user study based on a TREC test collection have been reported.",

author = "{Di Buccio}, Emanuele and Massimo Melucci and Dawei Song",

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Di Buccio, E, Melucci, M & Song, D 2011, Towards predicting relevance using a quantum-like framework. 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. 755-758, 33rd European Conference on Information Retrieval, ECIR 2011, Dublin, Ireland, 18/04/11. https://doi.org/10.1007/978-3-642-20161-5_87

Towards predicting relevance using a quantum-like framework. / Di Buccio, Emanuele; Melucci, Massimo; Song, Dawei.
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. 755-758 (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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Di Buccio E, Melucci M, Song D. Towards predicting relevance using a quantum-like framework. 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. 755-758. (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_87

Towards predicting relevance using a quantum-like framework

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