Track: Search
Paper Title:
On Ranking Techniques for Desktop Search
Authors:
Abstract:
This paper addresses the desktop search problem by considering various
techniques for ranking results of a search query over the
file system. First, basic ranking techniques, which are based on
a 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 is
also shown to be empirically effective, even though it does not
involve any learning.
