A study of probability kinematics in information retrieval
ACM Transactions on Information Systems (TOIS)
The Geometry of Information Retrieval
The Geometry of Information Retrieval
Geometry and Meaning
The dynamics of interactive information retrieval behavior, Part I: An activity theory perspective
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science and Technology
A basis for information retrieval in context
ACM Transactions on Information Systems (TOIS)
A Formalization of Logical Imaging for Information Retrieval Using Quantum Theory
DEXA '08 Proceedings of the 2008 19th International Conference on Database and Expert Systems Application
A mathematical model for context and word-meaning
CONTEXT'03 Proceedings of the 4th international and interdisciplinary conference on Modeling and using context
Quantum Interaction: Proceedings of the Second Quantum Interaction Symposium - Qi-2008
Quantum Interaction: Proceedings of the Second Quantum Interaction Symposium - Qi-2008
Supporting polyrepresentation in a quantum-inspired geometrical retrieval framework
Proceedings of the third symposium on Information interaction in context
A quantum interpretation of the view-update problem
ADC '10 Proceedings of the Twenty-First Australasian Conference on Database Technologies - Volume 104
Specificity aboutness in XML retrieval
Information Retrieval
MPEG-7 features in hilbert spaces: querying similar images with linear superpositions
QI'11 Proceedings of the 5th international conference on Quantum interaction
Type indeterminacy in privacy decisions: the privacy paradox revisited
QI'12 Proceedings of the 6th international conference on Quantum Interaction
Hi-index | 0.00 |
Information Retrieval (IR) systems try to identify documents relevant to user queries, which are representations of user information needs. Interaction, context, and document structure are three important and active themes in IR research. We present how we propose to model the task of Structured IR (SIR) based on a QT inspired framework, with a focus on how to exploit user contextual information and user interaction in the search process.