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Towards task-based personal information management evaluations
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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: Personalization table of contents
Pages: 23 - 30  
Year of Publication: 2007
ISBN:978-1-59593-597-7
Authors
David Elsweiler  University of Strathclyde
Ian Ruthven  University of Strathclyde
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): 24,   Downloads (12 Months): 269,   Citation Count: 6
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ABSTRACT

Personal Information Management (PIM) is a rapidly growing area of research concerned with how people store, manage and refind information. A feature of PIM research is that many systems have been designed to assist users manage and refind information, but very few have been evaluated. This has been noted by several scholars and explained by the difficulties involved in performing PIM evaluations. The difficulties include that people re-find information from within unique personal collections; researchers know little about the tasks that cause people to re-find information; and numerous privacy issues concerning personal information. In this paper we aim to facilitate PIM evaluations by addressing each of these difficulties. In the first part, we present a diary study of information re-finding tasks. The study examines the kind of tasks that require users to refind information and produces a taxonomy of refinding tasks for email messages and web pages. In the second part, we propose a task-based evaluation methodology based on our findings and examine the feasibility of the approach using two different methods of task creation.


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:
David Elsweiler: colleagues
Ian Ruthven: colleagues