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Relevance thresholds in system evaluations
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Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval table of contents
Singapore, Singapore
POSTER SESSION: Posters group 1: evaluation, text collections and user/personalized IR table of contents
Pages 693-694  
Year of Publication: 2008
ISBN:978-1-60558-164-4
Authors
Falk Scholer  RMIT University, Melbourne, Australia
Andrew Turpin  RMIT University, Melbourne, Australia
Sponsors
ACM: Association for Computing Machinery
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
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ABSTRACT

We introduce and explore the concept of an individual's relevance threshold as a way of reconciling differences in outcomes between batch and user experiments.


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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C. Clarke, N. Craswell, and I. Soboroff. Overview of the TREC 2004 terabyte track. Gaithersburg, MD, 2005.
 
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G.A Gescheider. Psychophysics: method, theory and application. Lawrence Erlbaum Ass., New Jersey, 1985.
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D. Kelly, X. Fu, and C. Shah. Effects of rank and precision of search results on users' evaluations of system performance. TR-2007-02, U. of North Carolina, 2007.
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Collaborative Colleagues:
Falk Scholer: colleagues
Andrew Turpin: colleagues