Relevance and contributing information types of searched documents in task performance
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Learning user interest dynamics with a three-descriptor representation
Journal of the American Society for Information Science and Technology
Modern Information Retrieval
Supporting reuse by delivering task-relevant and personalized information
Proceedings of the 24th International Conference on Software Engineering
Context-Aware, Proactive Delivery of Task-Specific Information: The KnowMore Project
Information Systems Frontiers
Working Knowledge: How Organizations Manage What They Know
Working Knowledge: How Organizations Manage What They Know
Knowledge Management: Problems, Promises, Realities, and Challenges
IEEE Intelligent Systems
Utilizing knowledge context in virtual collaborative work
Decision Support Systems - Special issue: Collaborative work and knowledge management
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With the increasing amount of information (and knowledge) in organizational memories and the phenomenal growth of the World Wide Web, knowledge workers are increasingly suffering from information overload. Because of the growing complexity of knowledge-intensive tasks, a profiling technique is needed to deliver task-relevant documents to workers. In this study, we propose a task-stage identification technique that provides effective document support throughout the execution of a task. A pattern similarity analysis method based on the correlation value is used to identify a worker's task-stage. The results are incorporated into a profile adaptation process to generate the worker's current task profile. We conducted a pilot study in a research institute. The results confirm the effectiveness of the proposed document support process in a knowledge-intensive working environment.