Abstract
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.
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References
J. Allan. Automatic Hypertext Construction. PhD thesis, Cornell University, January 1995. Also technical report TR95-1484.
J. Allan. Building hypertext using information retrieval. Information Processing and Management, 33(2):145–159, 1997.
J. Allan, J. Callan, B. Croft, L. Ballesteros, J. Broglio, J. Xu, and H. Shu. Inquery at TREC-5. In Fifth Text REtrieval Conference (TREC-5), pages 119–132, 1997.
J. Allan, J. Callan, W. B. Croft, L. Ballesteros, D. Byrd, R. Swan, and J. Xu. Inquery does battle with TREC-6. In Sixth Text REtrieval Conference (TREC-6), 1998. Forthcoming.
J. Allan, A. Leouski, and R. Swan. Interactive cluster visualization for informa-tion retrieval. Technical Report IR-116, CIIR, Department of Computer Science, University of Massachusetts, Amherst 1996.
M. S. Barlett. The spectral analysis of two-dimensional point processes. Biometrika, 51:299–311, 1964.
S. Card and T. Moran. User technology: from pointing to pondering. In Baecker, Grudin, and B. an Greenberg, editors, Readings in Human-Computer Interaction: towards the year 2000. Morgan Kaufmann, 1995.
M. Chalmers and P. Chitson. Bead: Explorations in information visualization. In Proceedings of ACM SIGIR, pages 330–337, June 1992.
N. A. C. Cressie. Statistics for Spatial Data. John Willey & Sons, 1993.
W. B. Croft. Organising and Searching Large Files of Documents. PhD thesis, University of Cambridge, October 1978.
D. Dubin. Document analysis for visualization. In Proceedings of ACM SIGIR, pages 199–204, July 1995.
T. M. J. Fruchterman and E. M. Reingold. Graph drawing by force-directed placement. Software-Practice and Experience, 21(11):1129–1164, 1991.
D. Harman and E. Voorhees, editors. The Fifth Text REtrieval Conference (TREC-5). NIST, 1997.
M. A. Hearst and J. O. Pedersen. Reexamining the cluster hypothesis: Scatter/gather on retrieval results. In Proceedings of ACM SIGIR, pages 76–84, Aug. 1996.
M. Hemmje, C. Kunkel, and A. Willet. LyberWorld-a visualization user interface supporting fulltext retrieval. In Proceedings of ACM SIGIR, pages 254–259, July 1994.
A. V. Leouski and W. B. Croft. An evaluation of techniques for clustering search results. Technical Report IR-76, Department of Computer Science, University of Massachusetts, Amherst, 1996.
B. D. Ripley. The second-order analysis of stationary point processes. Journal of Applied Probability, 13:255–266, 1976.
B. D. Ripley. Modelling spatial patterns. Journal of the Royal Statistical Society, 39:172–192, 1977.
D. Stoyan and H. Stoyan. Fractals, Random Shapes and Point Fields. John Willey & Sons, 1994.
C. J. van Rijsbergen. Information Retrieval. Butterworths, London, 1979. Second edition.
E. M. Voorhees. The cluster hypothesis revisited. In Proceedings of ACM SIGIR, pages 188–196, June 1985.
J. Xu and W. B. Croft. Querying expansion using local and global document analysis. In Proceedings of the 19th International Conference on Research and Development in Information Retrieval, pages 4–11, 1996.
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Leouski, A., Allan, J. (1998). Evaluating a Visual Navigation System for a Digital Library. In: Nikolaou, C., Stephanidis, C. (eds) Research and Advanced Technology for Digital Libraries. ECDL 1998. Lecture Notes in Computer Science, vol 1513. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49653-X_32
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DOI: https://doi.org/10.1007/3-540-49653-X_32
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