Evaluation of an inference network-based retrieval model
ACM Transactions on Information Systems (TOIS) - Special issue on research and development in information retrieval
A field study of exploratory learning strategies
ACM Transactions on Computer-Human Interaction (TOCHI)
ACM Transactions on Computer-Human Interaction (TOCHI)
The probability ranking principle in IR
Readings in information retrieval
Probabilistic Datalog: implementing logical information retrieval for advanced applications
Journal of the American Society for Information Science
Interaction Design
Querying with Intrinsic Preferences
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
SIMPLIcity: Semantics-sensitive Integrated Matching for Picture Libraries
VISUAL '00 Proceedings of the 4th International Conference on Advances in Visual Information Systems
Promoting universal usability with multi-layer interface design
CUU '03 Proceedings of the 2003 conference on Universal usability
The Geometry of Information Retrieval
The Geometry of Information Retrieval
TREC: Experiment and Evaluation in Information Retrieval (Digital Libraries and Electronic Publishing)
Using searcher simulations to redesign a polyrepresentative implicit feedback interface
Information Processing and Management: an International Journal
The polyrepresentation continuum in IR
IIiX Proceedings of the 1st international conference on Information interaction in context
The VLDB Journal — The International Journal on Very Large Data Bases
Features for image retrieval: an experimental comparison
Information Retrieval
A basis for information retrieval in context
ACM Transactions on Information Systems (TOIS)
A survey of browsing models for content based image retrieval
Multimedia Tools and Applications
Lire: lucene image retrieval: an extensible java CBIR library
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Methods for Evaluating Interactive Information Retrieval Systems with Users
Foundations and Trends in Information Retrieval
Journal of Artificial Intelligence Research
Preference-based search using example-critiquing with suggestions
Journal of Artificial Intelligence Research
A subjective logic formalisation of the principle of polyrepresentation for information needs
Proceedings of the third symposium on Information interaction in context
Inductive User Preference Manipulation for Multimedia Retrieval
MMEDIA '10 Proceedings of the 2010 Second International Conferences on Advances in Multimedia
What can quantum theory bring to information retrieval
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Towards quantum-based DB+IR processing based on the principle of polyrepresentation
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
PIKM 2011: the 4th ACM workshop for Ph.D. students in information and knowledge management
Proceedings of the 20th ACM international conference on Information and knowledge management
PythiaSearch: a multiple search strategy-supportive multimedia retrieval system
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
A permeable expert search strategy approach to multimodal retrieval
Proceedings of the 4th Information Interaction in Context Symposium
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Recently, the cognitively motivated principle of polyrepresentation has been shown to correlate with quantum mechanics-inspired IR models. The principle's core hypothesis is that a document is defined by different representations such as low-level features, textual content, or the user's context. Eventually, these representations can be used to form a cognitive overlap in which highly relevant documents are likely to be contained. In this work, we present a user interaction model mapping the principle onto a quantum logic-based retrieval model. The novelty of our approach is that - because of the cognitive basis of our work - the same model can be used from the retrieval model up to the user interaction model resulting in a new consistency throughout the interactive retrieval process. To cope with the inherent dynamics of the search process, the model allows users to use relevance feedback to further personalize the cognitive overlap. In addition, we address the open issue of information need drifts, i.e., if the cognitive overlap has to be adjusted. The accompanying experiments in the CBIR domain indicate the utility of our approach. Regarding relevance feedback, the retrieval model adjusts well even to small feedback data. If relevance feedback is not feasible, the retrieval performs appropriately for structured or unstructured queries, which are both supported to model the cognitive overlap. In conclusion, we discuss the potential of the presented approach for multimodal retrieval, how it can contribute to bridging DB and IR, and relate it to other contributions.