On ranking techniques for desktop search

Sara Cohen*, Carmel Domshlak, Naama Zwerdling

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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.

Original languageAmerican English
Title of host publication16th International World Wide Web Conference, WWW2007
Number of pages2
StatePublished - 2007
Externally publishedYes
Event16th International World Wide Web Conference, WWW2007 - Banff, AB, Canada
Duration: 8 May 200712 May 2007

Publication series

Name16th International World Wide Web Conference, WWW2007


Conference16th International World Wide Web Conference, WWW2007
CityBanff, AB


  • Desktop search
  • Personal information management
  • Ranking

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