Evaluation of an inference network-based retrieval model
ACM Transactions on Information Systems (TOIS) - Special issue on research and development in information retrieval
On the evaluation of Boolean operators in the extended Boolean retrieval framework
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
A formula for incorporating weights into scoring rules
Theoretical Computer Science - Special issue on the 6th International Conference on Database Theory—ICDT '97
Extended Boolean information retrieval
Communications of the ACM
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
The Geometry of Information Retrieval
The Geometry of Information Retrieval
The Turn: Integration of Information Seeking and Retrieval in Context (The Information Retrieval Series)
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
Lire: lucene image retrieval: an extensible java CBIR library
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Distributed and Parallel Databases
Inductive User Preference Manipulation for Multimedia Retrieval
MMEDIA '10 Proceedings of the 2010 Second International Conferences on Advances in Multimedia
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Multimedia documents such as videos, images, or music are characterized by an amount of different qualities that can become relevant during a search task. These qualities are seldom reflected as a whole by retrieval models. Thus, we present a new query model, which fully supports the principle of polyrepresentation by taking advantage of quantum logic. We offer means to model document relevance as a cognitive overlap from various features describing a multimedia document internally. Using our query model, the combination of the aforementioned polyrepresentative features is supported by the mechanisms of a Boolean algebra. In addition, these overlaps can be personalized by user preferences during a machine-based learning supported relevance feedback process. The input for the relevance feedback is based on qualitative judgments between documents, which are known from daily life, to keep the cognitive load on users low. We further discuss how our model contributes to the unification of different aspects of polyrepresentation into one sound theory.