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Author Crabtree, D. ♦ Andreae, P. ♦ Xiaoying Gao
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2007
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Computer science ♦ Performance evaluation ♦ Clustering methods ♦ Feedback ♦ Web pages ♦ Humans ♦ Search engines ♦ Mathematics ♦ Application software ♦ Statistics
Abstract For many hard queries, users spend a lot of time refining their queries to find relevant documents. Many methods help by suggesting refinements, but it is hard for users to choose the best refinement, as the best refinements are often quite obscure. This paper presents Qasp, an approach that overcomes the limitations of other refinement approaches by using query aspects to find different refinements of ambiguous queries. Qasp clusters the refinements so that descriptive refinements occur together with more obscure and potentially better performing refinements, thereby explaining the effect of refinements to the user. Experiments are presented that show Qasp significantly increases the precision of hard queries. The experiments also show that Qasp's clustering method does find meaningful groups of refinements that help users choose good refinements, which would otherwise be overlooked.
Description Author affiliation: Victoria Univ. of Wellington, Wellington (Crabtree, D.; Andreae, P.; Xiaoying Gao)
ISBN 9780769530260
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2007-11-02
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 427.67 kB
Page Count 5
Starting Page 691
Ending Page 695


Source: IEEE Xplore Digital Library