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’ ...
In the last years several works have investigated a formal model for Information Retrieval (IR) base...
The probabilistic formalism of quantum physics is said to provide a sound basis for building a princ...
A quantum probability model is introduced and used to explain human probability judgment errors incl...
While the Probability Ranking Principle for Information Retrieval provides the basis for formal mode...
While the Probability Ranking Principle for Information Retrieval provides the basis for formal mode...
In this work, we summarise the development of a ranking principle based on quantum probability theor...
In this thesis we investigate the use of quantum probability theory for ranking documents. Quantum p...
A known limitation of the Probability Ranking Principle (PRP) is that it does not cater for dependen...
Abstract—Relevance Model (RM) is one of typical and generally stable methods for the query expansion...
Indexing is a core process of an information retrieval (IR) system (IRS). As indexing can neither be...
Quantum theory has been applied in a number of fields outside physics, e.g., cognitive science and i...
Probabilistic models require the notion of event space for defining a probability measure. An event ...
The Quantum Probability Ranking Principle (QPRP) has been recently proposed, and accounts for interd...
Recently, Portfolio Theory (PT) has been proposed for Information Retrieval. However, under non-triv...
In the last years several works have investigated a formal model for Information Retrieval (IR) base...
In the last years several works have investigated a formal model for Information Retrieval (IR) base...
The probabilistic formalism of quantum physics is said to provide a sound basis for building a princ...
A quantum probability model is introduced and used to explain human probability judgment errors incl...
While the Probability Ranking Principle for Information Retrieval provides the basis for formal mode...
While the Probability Ranking Principle for Information Retrieval provides the basis for formal mode...
In this work, we summarise the development of a ranking principle based on quantum probability theor...
In this thesis we investigate the use of quantum probability theory for ranking documents. Quantum p...
A known limitation of the Probability Ranking Principle (PRP) is that it does not cater for dependen...
Abstract—Relevance Model (RM) is one of typical and generally stable methods for the query expansion...
Indexing is a core process of an information retrieval (IR) system (IRS). As indexing can neither be...
Quantum theory has been applied in a number of fields outside physics, e.g., cognitive science and i...
Probabilistic models require the notion of event space for defining a probability measure. An event ...
The Quantum Probability Ranking Principle (QPRP) has been recently proposed, and accounts for interd...
Recently, Portfolio Theory (PT) has been proposed for Information Retrieval. However, under non-triv...
In the last years several works have investigated a formal model for Information Retrieval (IR) base...
In the last years several works have investigated a formal model for Information Retrieval (IR) base...
The probabilistic formalism of quantum physics is said to provide a sound basis for building a princ...
A quantum probability model is introduced and used to explain human probability judgment errors incl...