In the last years several works have investigated a formal model for Information Retrieval (IR) based on the mathematical formalism underlying quantum theory [1,2,3,4,5]. These works have mainly exploited geometric and logical-algebraic features of the quantum formalism, for example entanglement, superposition of states, collapse into basis states, lattice relationships. In this poster I present an analogy between a typical IR scenario and the double slit experiment. This experiment exhibits the presence of interference phenomena between events in a quantum system, causing the Kolmogorovian law of total probability to fail. The analogy allows to put forward the routes for the application of quantum probability theory in IR. However, several...
Indexing is a core process of an information retrieval (IR) system (IRS). As indexing can neither be...
A quantum probability model is introduced and used to explain human probability judgment errors incl...
Probabilistic models require the notion of event space for defining a probability measure. An event ...
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...
While the Probability Ranking Principle for Information Retrieval provides the basis for formal mode...
Quantum theory has been applied in a number of fields outside physics, e.g., cognitive science and i...
While the Probability Ranking Principle for Information Retrieval provides the basis for formal mode...
In this thesis we investigate the use of quantum probability theory for ranking documents. Quantum p...
In this work, we summarise the development of a ranking principle based on quantum probability theor...
This position paper provides an overview of work conducted and an outlook of future directions withi...
This position paper provides an overview of work conducted and an outlook of future directions withi...
A key concept in many Information Retrieval (IR) tasks, e.g. document indexing, query language model...
A large number of studies in cognitive science have revealed that probabilistic outcomes of certain ...
A large number of studies in cognitive science have revealed that probabilistic outcomes of certain ...
Indexing is a core process of an information retrieval (IR) system (IRS). As indexing can neither be...
A quantum probability model is introduced and used to explain human probability judgment errors incl...
Probabilistic models require the notion of event space for defining a probability measure. An event ...
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...
While the Probability Ranking Principle for Information Retrieval provides the basis for formal mode...
Quantum theory has been applied in a number of fields outside physics, e.g., cognitive science and i...
While the Probability Ranking Principle for Information Retrieval provides the basis for formal mode...
In this thesis we investigate the use of quantum probability theory for ranking documents. Quantum p...
In this work, we summarise the development of a ranking principle based on quantum probability theor...
This position paper provides an overview of work conducted and an outlook of future directions withi...
This position paper provides an overview of work conducted and an outlook of future directions withi...
A key concept in many Information Retrieval (IR) tasks, e.g. document indexing, query language model...
A large number of studies in cognitive science have revealed that probabilistic outcomes of certain ...
A large number of studies in cognitive science have revealed that probabilistic outcomes of certain ...
Indexing is a core process of an information retrieval (IR) system (IRS). As indexing can neither be...
A quantum probability model is introduced and used to explain human probability judgment errors incl...
Probabilistic models require the notion of event space for defining a probability measure. An event ...