A probabilistic solution to the selection and fusion problem in distributed information retrieval

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A probabilistic solution to the selection and fusion problem in distributed information retrieval

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Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval table of contents

Berkeley, California, United States

Pages: 246 - 253

Year of Publication: 1999

ISBN:1-58113-096-1

Author

Christoph Baumgarten

Eurospider Information Technology AG, Zurich, Switzerland

Sponsor

SIGIR: ACM Special Interest Group on Information Retrieval

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 8, Downloads (12 Months): 58, Citation Count: 15

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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CITED BY 15

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	Zonghuan Wu , Weiyi Meng , Clement Yu , Zhuogang Li, Towards a highly-scalable and effective metasearch engine, Proceedings of the 10th international conference on World Wide Web, p.386-395, May 01-05, 2001, Hong Kong, Hong Kong
	Weiyi Meng , Zonghuan Wu , Clement Yu , Zhuogang Li, A highly scalable and effective method for metasearch, ACM Transactions on Information Systems (TOIS), v.19 n.3, p.310-335, July 2001
	Jacques Savoy, Cross-language information retrieval: experiments based on CLEF 2000 corpora, Information Processing and Management: an International Journal, v.39 n.1, p.75-115, January 2003
	Avi Arampatzis , André van Hameran, The score-distributional threshold optimization for adaptive binary classification tasks, Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval, p.285-293, September 2001, New Orleans, Louisiana, United States
	Allison L. Powell , James C. French, Comparing the performance of collection selection algorithms, ACM Transactions on Information Systems (TOIS), v.21 n.4, p.412-456, October 2003
	Robert M. Losee , Lewis Church Jr., Information Retrieval with Distributed Databases: Analytic Models of Performance, IEEE Transactions on Parallel and Distributed Systems, v.15 n.1, p.18-27, January 2004
	Clement Yu , King-Lup Liu , Weiyi Meng , Zonghuan Wu , Naphtali Rishe, A Methodology to Retrieve Text Documents from Multiple Databases, IEEE Transactions on Knowledge and Data Engineering, v.14 n.6, p.1347-1361, November 2002
	Dionysius P. Huijsmans , Nicu Sebe, How to Complete Performance Graphs in Content-Based Image Retrieval: Add Generality and Normalize Scope, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.27 n.2, p.245-251, February 2005
	Hui Yang , Minjie Zhang, Two-stage statistical language models for text database selection, Information Retrieval, v.9 n.1, p.5-31, January 2006
	Christoph Baumgarten, Retrieving Information from a Distributed Heterogeneous Document Collection, Information Retrieval, v.3 n.3, p.253-271, October 2000
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	Lean Yu , Shouyang Wang , K. K. Lai, An Integrated Data Preparation Scheme for Neural Network Data Analysis, IEEE Transactions on Knowledge and Data Engineering, v.18 n.2, p.217-230, February 2006
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