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Investigating behavioral variability in web search
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International World Wide Web Conference archive
Proceedings of the 16th international conference on World Wide Web table of contents
Banff, Alberta, Canada
SESSION: Personalization table of contents
Pages: 21 - 30  
Year of Publication: 2007
ISBN:978-1-59593-654-7
Authors
Ryen W. White  Microsoft Research, Redmond, WA
Steven M. Drucker  Microsoft Live Labs, Redmond, WA
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 27,   Downloads (12 Months): 300,   Citation Count: 29
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ABSTRACT

Understanding the extent to which people's search behaviors differ in terms of the interaction flow and information targeted is important in designing interfaces to help World Wide Web users search more effectively. In this paper we describe a longitudinal log-based study that investigated variability in people.s interaction behavior when engaged in search-related activities on the Web.allWe analyze the search interactions of more than two thousand volunteer users over a five-month period, with the aim of characterizing differences in their interaction styles.allThe findings of our study suggest that there are dramatic differences in variability in key aspects of the interaction within and between users, and within and between the search queries they submit.allOur findings also suggest two classes of extreme user. navigators and explorers. whose search interaction is highly consistent or highly variable. Lessons learned from these users can inform the design of tools to support effective Web-search interactions for everyone.


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  29

Collaborative Colleagues:
Ryen W. White: colleagues
Steven M. Drucker: colleagues