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Task detection for activity-based desktop search

Published: 20 July 2008 Publication History

Abstract

The desktop search tools provide powerful query capabilities and result presentation techniques. However, they do not take the user context into account. We propose to exploit collected information about user activities with desktop files and applications for activity-based desktop search. When I prepare for a project review and type in a search box the name of a colleague, I expect to find her last deliverable draft, but not her email with a paper review or our joint conference presentation. Ideally, the desktop search system should be able to infer my current task from the logs of my previous activities and present task-specific search results.

References

[1]
S. Chernov, G. Demartini, E. Herder, M. Kopycki, and W. Nejdl. Evaluating personal information management using an activity logs enriched desktop dataset. In Proceedings of the 3rd Workshop on Personal Information Management, 2008.
[2]
E. Cutrell, S. T. Dumais, and J. Teevan. Searching to eliminate personal information management. Commun. ACM, 49(1):58--64, 2006.
[3]
D. Elsweiler and I. Ruthven. Towards task-based personal information management evaluations. In SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, pages 23--30, New York, NY, USA, 2007. ACM Press.

Cited By

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  • (2021)Task estimation for software company employees based on computer interaction logsEmpirical Software Engineering10.1007/s10664-021-10006-426:5Online publication date: 13-Jul-2021
  • (2017)Watching inside the ScreenProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/31309741:3(1-23)Online publication date: 11-Sep-2017
  • (2012)SoDesktopProceedings of the 2012 International Conference on Communication Systems and Network Technologies10.1109/CSNT.2012.106(463-467)Online publication date: 11-May-2012
  • Show More Cited By

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cover image ACM Conferences
SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
July 2008
934 pages
ISBN:9781605581644
DOI:10.1145/1390334
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 July 2008

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Author Tags

  1. machine learning
  2. personal information management
  3. user studies

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SIGIR '08
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Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

View all
  • (2021)Task estimation for software company employees based on computer interaction logsEmpirical Software Engineering10.1007/s10664-021-10006-426:5Online publication date: 13-Jul-2021
  • (2017)Watching inside the ScreenProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/31309741:3(1-23)Online publication date: 11-Sep-2017
  • (2012)SoDesktopProceedings of the 2012 International Conference on Communication Systems and Network Technologies10.1109/CSNT.2012.106(463-467)Online publication date: 11-May-2012
  • (2009)UICOProceedings of the 1st Workshop on Context, Information and Ontologies10.1145/1552262.1552270(1-10)Online publication date: 1-Jun-2009

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