### Abstract

Language | English |
---|---|

Title of host publication | Advances in Information Retrieval Theory |

Subtitle of host publication | Second International Conference on the Theory of Information Retrieval, ICTIR 2009 Cambridge, UK, September 10-12, 2009 Proceedings |

Place of Publication | Berlin, Heidelberg |

Publisher | Springer-Verlag |

Pages | 232-240 |

Number of pages | 9 |

ISBN (Print) | 978-3-642-04416-8 |

DOIs | |

Publication status | Published - 2009 |

Externally published | Yes |

### Publication series

Name | Lecture Notes in Computer Science |
---|---|

Publisher | Springer-Verlag |

Volume | 5766 |

### Fingerprint

### Keywords

- probability ranking principle
- information retrieval

### Cite this

*Advances in Information Retrieval Theory: Second International Conference on the Theory of Information Retrieval, ICTIR 2009 Cambridge, UK, September 10-12, 2009 Proceedings*(pp. 232-240). (Lecture Notes in Computer Science; Vol. 5766). Berlin, Heidelberg: Springer-Verlag. https://doi.org/10.1007/978-3-642-04417-5_21

}

*Advances in Information Retrieval Theory: Second International Conference on the Theory of Information Retrieval, ICTIR 2009 Cambridge, UK, September 10-12, 2009 Proceedings.*Lecture Notes in Computer Science, vol. 5766, Springer-Verlag, Berlin, Heidelberg, pp. 232-240. https://doi.org/10.1007/978-3-642-04417-5_21

**The quantum probability ranking principle for information retrieval.** / Zuccon, Guido; Azzopardi, Leif A.; Rijsbergen, Keith.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

TY - GEN

T1 - The quantum probability ranking principle for information retrieval

AU - Zuccon, Guido

AU - Azzopardi, Leif A.

AU - Rijsbergen, Keith

PY - 2009

Y1 - 2009

N2 - While the Probability Ranking Principle for Information Retrieval provides the basis for formal models, it makes a very strong assumption regarding the dependence between documents. However, it has been observed that in real situations this assumption does not always hold. In this paper we propose a reformulation of the Probability Ranking Principle based on quantum theory. Quantum probability theory naturally includes interference effects between events. We posit that this interference captures the dependency between the judgement of document relevance. The outcome is a more sophisticated principle, the Quantum Probability Ranking Principle, that provides a more sensitive ranking which caters for interference/dependence between documents’ relevance.

AB - While the Probability Ranking Principle for Information Retrieval provides the basis for formal models, it makes a very strong assumption regarding the dependence between documents. However, it has been observed that in real situations this assumption does not always hold. In this paper we propose a reformulation of the Probability Ranking Principle based on quantum theory. Quantum probability theory naturally includes interference effects between events. We posit that this interference captures the dependency between the judgement of document relevance. The outcome is a more sophisticated principle, the Quantum Probability Ranking Principle, that provides a more sensitive ranking which caters for interference/dependence between documents’ relevance.

KW - probability ranking principle

KW - information retrieval

U2 - 10.1007/978-3-642-04417-5_21

DO - 10.1007/978-3-642-04417-5_21

M3 - Conference contribution book

SN - 978-3-642-04416-8

T3 - Lecture Notes in Computer Science

SP - 232

EP - 240

BT - Advances in Information Retrieval Theory

PB - Springer-Verlag

CY - Berlin, Heidelberg

ER -