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FOCUS: the interactive table for product comparison and selection
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Faceted metadata for image search and browsing
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Information Processing and Management: an International Journal
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Agile Browsing of a Document Collection with Dynamic Taxonomies
DEXA '08 Proceedings of the 2008 19th International Conference on Database and Expert Systems Application
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DEXA '08 Proceedings of the 2008 19th International Conference on Database and Expert Systems Application
Jigsaw: supporting investigative analysis through interactive visualization
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IEEE Transactions on Visualization and Computer Graphics
FacetLens: exposing trends and relationships to support sensemaking within faceted datasets
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
What do exploratory searchers look at in a faceted search interface?
Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
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ResultMaps: Visualization for Search Interfaces
IEEE Transactions on Visualization and Computer Graphics
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IVEA: an information visualization tool for personalized exploratory document collection analysis
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Enhanced navigation and focus on TileBars with barycenter heuristic-based reordering
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Visual abstraction and ordering in faceted browsing of text collections
Proceedings of the first international workshop on Intelligent visual interfaces for text analysis
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Faceted navigation is a technique for the exploration and discovery of a collection of resources, which can be of various types including text documents. While being information-rich resources, documents are usually not treated as content-bearing items in faceted browsing interfaces, and yet the required clean metadata is not always available or matches users’ interest. In addition, the existing linear listing paradigm for representing result items from the faceted filtering process makes it difficult for users to traverse or compare across facet values in different orders of importance to them. In this context, we report in this article a visual support toward faceted browsing of a collection of documents based on a set of entities of interest to users. Our proposed approach involves using a multi-dimensional visualization as an alternative to the linear listing of focus items. In this visualization, visual abstraction based on a combination of a conceptual structure and the structural equivalence of documents can be simultaneously used to deal with a large number of items. Furthermore, the approach also enables visual ordering based on the importance of facet values to support prioritized, cross-facet comparisons of focus items. A user study was conducted and the results suggest that interfaces using the proposed approach can support users better in exploratory tasks and were also well-liked by the participants of the study, with the hybrid interface combining the multi-dimensional visualization with the linear listing receiving the most favorable ratings.