Journal of the American Society for Information Science
The Geometry of Information Retrieval
The Geometry of Information Retrieval
Orthogonal negation in vector spaces for modelling word-meanings and document retrieval
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
The Turn: Integration of Information Seeking and Retrieval in Context (The Information Retrieval Series)
Implicit user modeling for personalized search
Proceedings of the 14th ACM international conference on Information and knowledge management
The dynamics of interactive information retrieval behavior, Part I: An activity theory perspective
Journal of the American Society for Information Science and Technology
A basis for information retrieval in context
ACM Transactions on Information Systems (TOIS)
A study of methods for negative relevance feedback
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Semantic Spaces: Measuring the Distance between Different Subspaces
QI '09 Proceedings of the 3rd International Symposium on Quantum Interaction
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
What can quantum theory bring to information retrieval
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Using the quantum probability ranking principle to rank interdependent documents
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
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Even the best information retrieval model cannot always identify the most useful answers to a user query. This is in particular the case with web search systems, where it is known that users tend to minimise their effort to access relevant information. It is, however, believed that the interaction between users and a retrieval system, such as a web search engine, can be exploited to provide better answers to users. Interactive Information Retrieval (IR) systems, in which users access information through a series of interactions with the search system, are concerned with building models for IR, where interaction plays a central role. In this paper, we propose a general framework for interactive IR that is able to capture the full interaction process in a principled way. Our approach relies upon a generalisation of the probability framework of quantum physics.