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Query side evaluation: an empirical analysis of effectiveness and effort
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Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval table of contents
Boston, MA, USA
SESSION: Query formulation table of contents
Pages 556-563  
Year of Publication: 2009
ISBN:978-1-60558-483-6
Author
Leif Azzopardi  University of Glasgow, Glasgow, United Kingdom
Sponsors
SIGIR: ACM Special Interest Group on Information Retrieval
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Typically, Information Retrieval evaluation focuses on measuring the performance of the system's ability at retrieving relevant information, and not the query's ability. However, the effectiveness of a retrieval system is strongly influenced by the quality of the query submitted. In this paper, the effectiveness and effort of querying is empirically examined in the context of the Principle of Least Effort, Zipf's Law and the Law of Diminishing Returns. This query focused investigation leads to a number of novel findings which should prove useful in the development of future retrieval methods and evaluation techniques. While, also motivating further research into query side evaluation.


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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