Ellen M. Voorhees
Narendra K. Gupta
- 1.Brian T. Bartell~ Garrison W. Cottrell~ and Richard Ko Belew. Automatic combination of multiple ranked retrievM systems. In Proceedings of the 17th International Conference on Research and Development in Information RetmevaI (SIGIR-9~), July 1994. Google Scholar
Digital Library
- 2.N.J. Belkin~ C. Cool~ W.B. Croft~ and J.P. Callan. The effect of multiple query representations on information system performance~ In Robert Korfhage~ Edie Rasmussen~ and Peter Willet~, editors~ Proceedings of the Sixteenth Annual International A CM SIGIR Conference on Research and Development in Information Retrieval~ pages 339-346, June 1993. Google ScholarDigital Library
- 3.N.J. Belkin, P. Kantor, C. Cool, and R~ Quatrain. Query combination and data fusion for information retrieval, in Donna K. Harman~ editor, Proceedings of the Second Text REtrieval Conference (TREC-2), pages 35-449 March 1994. NIST Special{ Publication 500-215.Google Scholar
- 4.Chris Buckley. Implementation of the SMART information retrieval system. Technical Report 85-686, Computer Science Department, Cornell University~ Ithaca, New York, May 1985. Google ScholarDigital Library
- 5.Chris Buckley, Gerard SMton, and James Allan~ Automatic retrieval with locality ~nformation using SMART~ In D. K. Harman, editor, Proceedings of the First Text RE~meval Conference (TREC-i), pages 59-72. NIST Special Publication 500-207, March 1993.Google Scholar
- 6.Susan T. Dumais. LSI meets TREC: A status report. In Donna K. Harman, editor, Proceedings of the First Text REtrieval Conference (TREC-1)~ pages 137-152, March 1993. NIST Special Publication 500-207.Google Scholar
- 7.Edward A. Fox and Joseph A. Shaw. Combination of multiple searches. In Donna K. Harman, editor, Proceedings of the Second Text REtmeval Conference (TREC-$), pages 243-2529 March 1994. NIST Special Publication 500-215.Google Scholar
- 8.Donna Ko Harman. The first Text REtrieval Conference (TREC-1)~ Rockville, MD, U.S.A, 4-6 November, 1992. Information Processing and Management, 29(4):411-414~ 1993. Google ScholarDigital Library
- 9.L. Kaufman and P. Rousseeuw. F~nding Groups in Data An Introduction to Cluster Analysis. Wiley, 1990.Google Scholar
- 10.John W. Kirriemuir and Peter Willett. Identification of duplicate and near-duplicate full-text records in database search-outputs using hierarchic cluster analysis. In Proceedings of the Electronic Library and Visual Information Research Conference~ May 1995. (To appear).Google Scholar
- 11.Richard So Marcus and J. Francis Reintjes. A translating computer interface for end-user operation of heterogeneous retrieval systems, iI. Evaluations. Journal of the American Society for Information Science, 34(6):381-404~ 1983.Google Scholar
- 12.Alistair Moffat and Justin Zobel. Information retrieval systems for large document collections. In Proceedings of the Third Text REtrieval Conference (TREC-3), November 1994. In press.Google Scholar
- 13.Ellen M. Voorhees~ Narendra K. Gupta, and Ben Johnson-Laird. The collection fusion problem. In Proceedings of the Third Text REtrieval Conference (TREC-3), November 1994. In press.Google Scholar
Index Terms
- Learning collection fusion strategies
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