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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. (In Press)

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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.

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    ID Code: 46965
    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: 15 Nov 2011 19:23

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