Scatter/Gather: a cluster-based approach to browsing large document collections
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Groupware and social dynamics: eight challenges for developers
Communications of the ACM
Spatial hypertext: designing for change
Communications of the ACM
Spatial hypertext and the practice of information triage
HYPERTEXT '97 Proceedings of the eighth ACM conference on Hypertext
Beyond paper: supporting active reading with free form digital ink annotations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CSCW '98 Proceedings of the 1998 ACM conference on Computer supported cooperative work
Visualizing implicit queries for information management and retrieval
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Proceedings of the 6th international conference on Intelligent user interfaces
The visual knowledge builder: a second generation spatial hypertext
Proceedings of the 12th ACM conference on Hypertext and Hypermedia
Semantics happen: knowledge building in spatial hypertext
Proceedings of the thirteenth ACM conference on Hypertext and hypermedia
TextTiling: segmenting text into multi-paragraph subtopic passages
Computational Linguistics
Supporting personal collections across digital libraries in spatial hypertext
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
A personalized collaborative digital library environment: a model and an application
Information Processing and Management: an International Journal - Special issue: An Asian digital libraries perspective
Sources of structure in sensemaking
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Proceedings of the 11th international conference on Intelligent user interfaces
Automatic identification of user interest for personalized search
Proceedings of the 15th international conference on World Wide Web
Degree-of-interest trees: a component of an attention-reactive user interface
Proceedings of the Working Conference on Advanced Visual Interfaces
Interest-based user grouping model for collaborative filtering in digital libraries
ICADL'04 Proceedings of the 7th international Conference on Digital Libraries: international collaboration and cross-fertilization
Effects of display configurations on document triage
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
Social navigation support through annotation-based group modeling
UM'05 Proceedings of the 10th international conference on User Modeling
EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
Investigating document triage on paper and electronic media
ECDL'07 Proceedings of the 11th European conference on Research and Advanced Technology for Digital Libraries
Redeye: a digital library for forensic document triage
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
Mining user interest from search tasks and annotations
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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For open-ended information tasks, users must sift through many potentially relevant documents, a practice we refer to as document triage. Normally, people perform triage using multiple applications in concert: a search engine interface presents lists of potentially relevant documents; a document reader displays their contents; and a third tool--a text editor or personal information management application--is used to record notes and assessments. To support document triage, we have developed an extensible multi-application architecture that initially includes an information workspace and a document reader. An Interest Profile Manager infers users' interests from their interactions with the triage applications, coupled with the characteristics of the documents they are interacting with. The resulting interest profile is used to generate visualizations that direct users' attention to documents or parts of documents that match their inferred interests. The novelty of our approach lies in the aggregation of activity records across applications to generate fine-grained models of user interest.