Online text retrieval via browsing
Information Processing and Management: an International Journal
Visualization of a document collection: the vibe system
Information Processing and Management: an International Journal
TileBars: visualization of term distribution information in full text information access
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Reexamining the cluster hypothesis: scatter/gather on retrieval results
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Bringing order to the Web: automatically categorizing search results
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Information Retrieval
Faceted metadata for image search and browsing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Findex: search result categories help users when document ranking fails
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Exploratory search: from finding to understanding
Communications of the ACM - Supporting exploratory search
Clustering versus faceted categories for information exploration
Communications of the ACM - Supporting exploratory search
FaThumb: a facet-based interface for mobile search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Proceedings of the 16th international conference on World Wide Web
Tag clouds for summarizing web search results
Proceedings of the 16th international conference on World Wide Web
Effects of structure and interaction style on distinct search tasks
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
Evaluating WordBars in exploratory Web search scenarios
Information Processing and Management: an International Journal
Idea navigation: structured browsing for unstructured text
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Personalized web exploration with task models
Proceedings of the 17th international conference on World Wide Web
Personalized interactive faceted search
Proceedings of the 17th international conference on World Wide Web
The relation browser tool for faceted exploratory search
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries
Minimum-effort driven dynamic faceted search in structured databases
Proceedings of the 17th ACM conference on Information and knowledge management
Automatic Extraction of Useful Facet Hierarchies from Text Databases
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Information Processing and Management: an International Journal
Semantic annotation based exploratory search for information analysts
Information Processing and Management: an International Journal
Evaluating tag-based information access in image collections
Proceedings of the 23rd ACM conference on Hypertext and social media
A subjunctive exploratory search interface to support media studies researchers
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
CIDER: Concept-based image diversification, exploration, and retrieval
Information Processing and Management: an International Journal
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Over the last few years, faceted search emerged as an attractive alternative to the traditional "text box" search and has become one of the standard ways of interaction on many e-commerce sites. However, these applications of faceted search are limited to domains where the objects of interests have already been classified along several independent dimensions, such as price, year, or brand. While automatic approaches to generate faceted search interfaces were proposed, it is not yet clear to what extent the automatically-produced interfaces will be useful to real users, and whether their quality can match or surpass their manually-produced predecessors. The goal of this paper is to introduce an exploratory search interface called ImageSieve, which shares many features with traditional faceted browsing, but can function without the use of traditional faceted metadata. ImageSieve uses automatically extracted and classified named entities, which play important roles in many domains (such as news collections, image archives, etc.). We describe one specific application of ImageSieve for image search. Here, named entities extracted from the descriptions of the retrieved images are used to organize a faceted browsing interface, which then helps users to make sense of and further explore the retrieved images. The results of a user study of ImageSieve demonstrate that a faceted search system based on named entities can help users explore large collections and find relevant information more effectively.