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Implicit queries (IQ) for contextualized search
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Source Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval table of contents
Sheffield, United Kingdom
POSTER SESSION: Posters table of contents
Pages: 594 - 594  
Year of Publication: 2004
ISBN:1-58113-881-4
Authors
Susan Dumais  Microsoft Research, Redmond, WA
Edward Cutrell  Microsoft Research, Redmond, WA
Raman Sarin  Microsoft Research, Redmond, WA
Eric Horvitz  Microsoft Research, Redmond, WA
Sponsors
ACM: Association for Computing Machinery
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 6,   Downloads (12 Months): 61,   Citation Count: 9
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ABSTRACT

The Implicit Query (IQ) prototype is a system which automatically generates context-sensitive searches based on a user's current computing activities. In the demo, we show IQ running when users are reading or composing email. Queries are automatically generated by analyzing the email message, and results are presented in a small pane adjacent to the current window to provide peripheral awareness of related information.



CITED BY  9

Collaborative Colleagues:
Susan Dumais: colleagues
Edward Cutrell: colleagues
Raman Sarin: colleagues
Eric Horvitz: colleagues