Using relevance feedback to detect misuse for information retrieval systems

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Using relevance feedback to detect misuse for information retrieval systems

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Conference on Information and Knowledge Management archive
Proceedings of the thirteenth ACM international conference on Information and knowledge management table of contents

Washington, D.C., USA

POSTER SESSION: Posters P-1 table of contents

Pages: 164 - 165

Year of Publication: 2004

ISBN:1-58113-874-1

Authors

Ling Ma	Illinois Institute of Technology
Nazli Goharian	Illinois Institute of Technology

Sponsors

SIGIR: ACM Special Interest Group on Information Retrieval
ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 4, Downloads (12 Months): 20, Citation Count: 1

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references cited by index terms collaborative colleagues

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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.

	1	Michael E. Whitman, Enemy at the gate: threats to information security, Communications of the ACM, v.46 n.8, p.91-95, August 2003 [doi>10.1145/859670.859675]
	2	Rebecca Cathey , Ling Ma , Nazli Goharian , David Grossman, Misuse detection for information retrieval systems, Proceedings of the twelfth international conference on Information and knowledge management, November 03-08, 2003, New Orleans, LA, USA [doi>10.1145/956863.956901]