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Stuff I've seen: a system for personal information retrieval and re-use
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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: 72 - 79  
Year of Publication: 2003
ISBN:1-58113-646-3
Authors
Susan Dumais  Microsoft Research, Redmond, WA
Edward Cutrell  Microsoft Research, Redmond, WA
JJ Cadiz  Microsoft Research, Redmond, WA
Gavin Jancke  Microsoft Research, Redmond, WA
Raman Sarin  Microsoft Research, Redmond, WA
Daniel C. Robbins  Microsoft Research, Redmond, WA
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 44,   Downloads (12 Months): 549,   Citation Count: 113
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ABSTRACT

Most information retrieval technologies are designed to facilitate information discovery. However, much knowledge work involves finding and re-using previously seen information. We describe the design and evaluation of a system, called Stuff I've Seen (SIS), that facilitates information re-use. This is accomplished in two ways. First, the system provides a unified index of information that a person has seen, whether it was seen as email, web page, document, appointment, etc. Second, because the information has been seen before, rich contextual cues can be used in the search interface. The system has been used internally by more than 230 employees. We report on both qualitative and quantitative aspects of system use. Initial findings show that time and people are important retrieval cues. Users find information more easily using SIS, and use other search tools less frequently after installation.


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  114
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Collaborative Colleagues:
Susan Dumais: colleagues
Edward Cutrell: colleagues
JJ Cadiz: colleagues
Gavin Jancke: colleagues
Raman Sarin: colleagues
Daniel C. Robbins: colleagues

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