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Tensor query expansion : a cognitively motivated relevance model

Symonds, Michael, Bruza, Peter D., Sitbon, Laurianne, & Turner, Ian (2011) Tensor query expansion : a cognitively motivated relevance model. In Proceeding of the 16th Australasian Document Computing Symposium, Australasian Document Computing Symposium, Canberra, ACT.

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Abstract

In information retrieval, a user's query is often not a complete representation of their real information need. The user's information need is a cognitive construction, however the use of cognitive models to perform query expansion have had little study.

In this paper, we present a cognitively motivated query expansion technique that uses semantic features for use in ad hoc retrieval. This model is evaluated against a state-of-the-art query expansion technique. The results show our approach provides significant improvements in retrieval effectiveness for the TREC data sets tested.

Impact and interest:

1 citations in Scopus
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109 since deposited on 10 Nov 2011
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ID Code: 46965
Item Type: Conference Paper
Funders: ARC
Keywords: Information retrieval, query expansion, tensors, tensor query expansion, relevance model
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Information Retrieval and Web Search (080704)
Divisions: Past > Schools > Computer Science
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Schools > Information Systems
Past > Schools > Mathematical Sciences
Funding:
Copyright Owner: Copyright 2011 [please consult the Authors]
Deposited On: 11 Nov 2011 09:50
Last Modified: 08 Oct 2014 13:11

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