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On ranking techniques for desktop search
2007
Proceedings of the 16th international conference on World Wide Web - WWW '07
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,
doi:10.1145/1242572.1242756
dblp:conf/www/CohenDZ07
fatcat:57q442gxozbtpnhdf633rytpzi