Retrieval evaluation with incomplete relevance data

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Retrieval evaluation with incomplete relevance data: a comparative study of three measures

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Conference on Information and Knowledge Management archive
Proceedings of the 15th ACM international conference on Information and knowledge management table of contents

Arlington, Virginia, USA

POSTER SESSION: Posters table of contents

Pages: 872 - 873

Year of Publication: 2006

ISBN:1-59593-433-2

Authors

Per Ahlgren	University College of Borås, Borås, Sweden
Leif Grönqvist	Växjö University, Växjö, Sweden

Sponsors

ACM: Association for Computing Machinery
SIGIR: ACM Special Interest Group on Information Retrieval
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 4, Downloads (12 Months): 32, Citation Count: 3

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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	Chris Buckley , Ellen M. Voorhees, Retrieval evaluation with incomplete information, Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, July 25-29, 2004, Sheffield, United Kingdom [doi>10.1145/1008992.1009000]
	2	L. Grönqvist. Evaluating latent semantic vector models with synonym tests and document retrieval. In ELECTRA Workshop: Methodologies and Evaluation of Lexical Cohesion Techniques in Real-world Applications Beyond Bag of Words, in association with ACM SIGIR, pages 86--88, 2005.
	3	Ellen M. Voorhees, The Philosophy of Information Retrieval Evaluation, Revised Papers from the Second Workshop of the Cross-Language Evaluation Forum on Evaluation of Cross-Language Information Retrieval Systems, p.355-370, September 03-04, 2001

CITED BY 3

	Per Ahlgren , Leif Grönqvist, Evaluation of retrieval effectiveness with incomplete relevance data: Theoretical and experimental comparison of three measures, Information Processing and Management: an International Journal, v.44 n.1, p.212-225, January, 2008
	Stefan Büttcher , Charles L. A. Clarke , Peter C. K. Yeung , Ian Soboroff, Reliable information retrieval evaluation with incomplete and biased judgements, Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, July 23-27, 2007, Amsterdam, The Netherlands
	Jonathan L. Elsas , Vitor R. Carvalho , Jaime G. Carbonell, Fast learning of document ranking functions with the committee perceptron, Proceedings of the international conference on Web search and web data mining, February 11-12, 2008, Palo Alto, California, USA