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.
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.
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|Item Type:||Conference Paper|
|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
|Copyright Owner:||Copyright 2011 [please consult the Authors]|
|Deposited On:||11 Nov 2011 09:50|
|Last Modified:||29 Oct 2013 09:19|
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