Bead: explorations in information visualization
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Graph drawing by force-directed placement
Software—Practice & Experience
LyberWorld—a visualization user interface supporting fulltext retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
User technology: from pointing to pondering
Human-computer interaction
Document analysis for visualization
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Query expansion using local and global document analysis
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
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
The cluster hypothesis revisited
SIGIR '85 Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval
Building hypertext using information retrieval
Information Processing and Management: an International Journal - Special issue: methods and tools for the automatic construction of hypertext
Information Retrieval
Automatic Hypertext Construction
Automatic Hypertext Construction
Design of an Interface for Interactive Topic Detection and Tracking
FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems
PageRank without hyperlinks: Structural reranking using links induced by language models
ACM Transactions on Information Systems (TOIS)
The opposite of smoothing: a language model approach to ranking query-specific document clusters
Journal of Artificial Intelligence Research
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In this paper we investigate a general purpose interactive information organization system. The system organizes documents by placing them into 1-, 2-, or 3-dimensional space based on their similarity and a spring-embedding algorithm. We begin by designing a method for estimating the quality of the organization when it is applied to a set of documents returned in response to a query. We show how the relevant documents tend to clump with each other in space. We proceed by presenting a method for measuring the amount of structure in the organization and we explain how this knowledge can be used to refine the system. We also show that increasing the dimensionality of the organization generally improves its quality. We introduce two methods for modifying the organization based on the information obtained from the user and show how such feedback improves the organization. All the analysis is done off-line without direct user intervention.