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Using terminological feedback for web search refinement: a log-based study
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Source Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval table of contents
Toronto, Canada
SESSION: Human interaction table of contents
Pages: 88 - 95  
Year of Publication: 2003
ISBN:1-58113-646-3
Author
Peter Anick  Overture
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 16,   Downloads (12 Months): 193,   Citation Count: 55
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ABSTRACT

Although interactive query reformulation has been actively studied in the laboratory, little is known about the actual behavior of web searchers who are offered terminological feedback along with their search results. We analyze log sessions for two groups of users interacting with variants of the AltaVista search engine - a baseline group given no terminological feedback and a feedback group to whom twelve refinement terms are offered along with the search results. We examine uptake, refinement effectiveness, conditions of use, and refinement type preferences. Although our measure of overall session "success" shows no difference between outcomes for the two groups, we find evidence that a subset of those users presented with terminological feedback do make effective use of it on a continuing basis.


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  55