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ECIR
2010
Springer

Using the Quantum Probability Ranking Principle to Rank Interdependent Documents

11 years 1 months ago
Using the Quantum Probability Ranking Principle to Rank Interdependent Documents
A known limitation of the Probability Ranking Principle (PRP) is that it does not cater for dependence between documents. Recently, the Quantum Probability Ranking Principle (QPRP) has been proposed, which implicitly captures dependencies between documents through"quantum interference". This paper explores whether this new ranking principle leads to improved performance for subtopic retrieval, where novelty and diversity is required. In a thorough empirical investigation, models based on the PRP, as well as other recently proposed ranking strategies for subtopic retrieval (i.e. Maximal Marginal Relevance (MMR) and Portfolio Theory(PT)), are compared against the QPRP. On the given task, it is shown that the QPRP outperforms these other ranking strategies. And unlike MMR and PT, one of the main advantages of the QPRP is that no parameter estimation/tuning is required; making the QPRP both simple and effective. This research demonstrates that the application of quantum theory to...
Guido Zuccon, Leif Azzopardi
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2010
Where ECIR
Authors Guido Zuccon, Leif Azzopardi
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