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On ranking techniques for desktop search

Published: 08 May 2007 Publication History

Abstract

This paper addresses the desktop search problem by considering varioustechniques for ranking results of a search query over thefile system. First, basic ranking techniques, which are based ona single file feature (e.g., file name, file content, access date, etc.)are considered. Next, two learning-based ranking schemes are presented, and are shown to be significantly more effective than the basic ranking methods. Finally, a novel ranking technique, based on query selectiveness is considered,for use during the cold-start period of the system. This method isalso shown to be empirically effective, even though it does notinvolve any learning.

References

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S. Dumais, E. Cutrell, JJ Cadiz, G. Jancke, R. Sarin, and D. C. Robbins. Stu® I've seen: a system for personal information retrieval and re-use. In SIGIR'03.
[2]
R. Fagin, R. Kumar, K. S. McCurley, J. Novak, D. Sivakumar, J. A. Tomlin, and D. P. Williamson. Searching the workplace web. In WWW'03.
[3]
J. Gemmell, G. Bell, R. Lueder, S. Drucker, and C. Wong. MyLifeBits: Fulfilling the Memex vision. In ACM Multimedia'02.
[4]
T. Joachims. Optimizing search engines using clickthrough data. In KDD'02.
[5]
J. Teevan, W. Jones, and B. B. Bederson, editors. Special Issue on Personal Information Management, volume 49 of Communication of the ACM, 2006.

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  1. On ranking techniques for desktop search

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    cover image ACM Conferences
    WWW '07: Proceedings of the 16th international conference on World Wide Web
    May 2007
    1382 pages
    ISBN:9781595936547
    DOI:10.1145/1242572
    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: 08 May 2007

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    Author Tags

    1. desktop search
    2. personal information management
    3. ranking

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    WWW'07
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    WWW'07: 16th International World Wide Web Conference
    May 8 - 12, 2007
    Alberta, Banff, Canada

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    Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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