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Information re-retrieval: repeat queries in Yahoo's logs
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Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval table of contents
Amsterdam, The Netherlands
SESSION: Users and the web table of contents
Pages: 151 - 158  
Year of Publication: 2007
ISBN:978-1-59593-597-7
Authors
Jaime Teevan  MIT
Eytan Adar  University of Washington
Rosie Jones  Yahoo!
Michael A. S. Potts  Yahoo!
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

People often repeat Web searches, both to find new information on topics they have previously explored and to re-find information they have seen in the past. The query associated with a repeat search may differ from the initial query but can nonetheless lead to clicks on the same results. This paper explores repeat search behavior through the analysis of a one-year Web query log of 114 anonymous users and a separate controlled survey of an additional 119 volunteers. Our study demonstrates that as many as 40% of all queries are re-finding queries. Re-finding appears to be an important behavior for search engines to explicitly support, and we explore how this can be done. We demonstrate that changes to search engine results can hinder re-finding, and provide a way to automatically detect repeat searches and predict repeat clicks.


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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Collaborative Colleagues:
Jaime Teevan: colleagues
Eytan Adar: colleagues
Rosie Jones: colleagues
Michael A. S. Potts: colleagues