Zhen Wen
Michelle X. Zhou
ABSTRACT
We are building an intelligent information system to aid users in their investigative tasks, such as detecting fraud. In such a task, users must progressively search and analyze relevant information before drawing a conclusion. In this paper, we address how to help users find relevant informa-tion during an investigation. Specifically, we present a novel approach that can improve information retrieval by exploiting a user's investigative context. Compared to existing retrieval systems, which are either context insensitive or leverage only limited user context, our work offers two unique contributions. First, our system works with users cooperatively to build an investigative context, which is otherwise very difficult to capture by machine or human alone. Second, we develop a context-aware method that can adaptively retrieve and evaluate information relevant to an ongoing investigation. Experiments show that our approach can improve the relevance of retrieved information significantly. As a result, users can fulfill their investigative tasks more efficiently and effectively.
- www.i2.co.uk/Products/Analysts_Notebook.Google Scholar
- www-306.ibm.com/software/data/db2/eas.Google Scholar
- IEEE VAST 2006 contest website. http://www.cs.umd.edu/hcil/VASTcontest06/.Google Scholar
- R. Baeza-Yates and B. Ribeiro-Neto. Modern Information Retrieval. Addison Wesley, 1999. Google ScholarDigital Library
- B. Bell and S. Feiner. Dynamic space management for user interfaces. In Proc. UIST '00, pages 239--248, 2000. Google ScholarDigital Library
- K. Bharat. Searchpad: explicit capture of search context to support web search. In WWW 2000, pages 493--501, 2000. Google ScholarDigital Library
- E. Bier, E. Ishak, and E. Chi. Entity workspace: An evidence file that aids memory, inference, and reading. In ISI 2006, pages 466--472. Google ScholarDigital Library
- S. Brin and L. Page. The anatomy of a large-scale hypertextual web search engines. Computer Networks, 30(1-7):107--117, 1998. Google ScholarDigital Library
- J. Budzik. Information access in context: Experiences with the WAT-SON system. Northwestern University, 2003. PhD Thesis. Google ScholarDigital Library
- H. Chen, J. Schroeder, R. Hauck, L. Ridgeway, and H. Atabakhsh. COPLINK connect: information and knowledge management. Comm. of ACM, 34(3):271--285, 2003.Google Scholar
- E. Cutrell, C. Robbins, S. Dumais, and R. Sarin. Fast, flexible filtering with phlat. In ACM CHI '06, pages 261--270. Google ScholarDigital Library
- L. Freund, E. G. Toms, and C. Clarke. Modeling task-genre relationships for IR in the workplace. In SIGIR 2005, pages 441--448, 2005. Google ScholarDigital Library
- D. Gotz, M. Zhou, and V. Aggarwal. Interactive visual synthesis of analytic knowledge. In IEEE VAST '06. to appear.Google Scholar
- R. J. Heuer. Psychology of Intelligence Analysis. U.S. Government Printing Office, 1999.Google Scholar
- K. Jarvelin and J. Kekalainen. IR evaluation methods for retrieving highly relevant documents. In SIGIR 2000, pages 41--48, 2000. Google ScholarDigital Library
- R. Kraft, F. Maghoul, and C. Chang. Y!q: Contextual search at the point of inspiration. In CIKM 2005, pages 816--823, 2005. Google ScholarDigital Library
- J. Lowrance, I. Harrison, and A. Rodriguez. Capturing analytic thought. In Proc. of Internation Conference on Knowledge Capture, pages 84--91, 2001. Google ScholarDigital Library
- Lucene. http://lucene.apache.org/.Google Scholar
- D. Neves, E. Fox, and X. Yu. Connecting topics in document collections with stepping stones and pathways. In CIKM '05, pages 91--98. Google ScholarDigital Library
- X. Shen, B. Tan, and C. Zhai. Context-sensitive information retrieval using implicit feedback. In SIGIR 2005, pages 43--50, 2005. Google ScholarDigital Library
- A. Singhal. Modern information retrieval: A brief overview. IEEE Data Engineering Bulletin, 24(4):35--43, 2001.Google Scholar
- R. Stapleton-Gray. Watchin' the analysts. In International Conference on Intelligence Analysis, 2005.Google Scholar
- J. Teevan, S. G. Dumais, and E. Horvitz. Personalizing search via automated analysis of interests and activities. In SIGIR 2005, pages 449--456, 2005. Google ScholarDigital Library
- Z. Wen, M. Zhou, and V. Aggarwal. An optimization-based approach to dynamic visual context management. In InfoVis'05, pages 111--118. Google ScholarDigital Library
- W. Wright, D. Schroh, P. Proulx, A. Skaburskis, and B. Cort. The sandbox for analysis: concepts and evaluation. In CHI '06, pages 801--810. ACM. Google ScholarDigital Library
Index Terms
- Context-Aware, adaptive information retrieval for investigative tasks
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