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    Cluster-based polyrepresentation as science modelling approach for information retrieval

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    Authors
    Abbasi, Muhammad Kamran
    Frommholz, Ingo
    Issue Date
    2015
    Subjects
    polyrepresentation
    document clustering
    information retrieval
    bibliometrics
    simulated user
    
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    Abstract
    The increasing number of publications make searching and accessing the produced literature a challenging task. A recent development in bibliographic databases is to use advanced information retrieval techniques in combination with bibliographic means like citations. In this work we will present an approach that combines a cognitive information retrieval framework based on the principle of polyrepresentation with document clustering to enable the user to explore a collection more interactively than by just examining a ranked result list. Our approach uses information need representations as well as different document representations including citations. To evaluate our ideas we employ a simulated user strategy utilising a cluster ranking approach. We report on the possible effectiveness of our approach and on several strategies how users can achieve a higher search effectiveness through cluster browsing. Our results confirm that our proposed polyrepresentative cluster browsing strategy can in principle significantly improve the search effectiveness. However, further evaluations including a more refined user simulation are needed.
    Citation
    Abbassi, M.K. and Frommholz, I. (2015) 'Cluster-based polyrepresentation as science modelling approach for information retrieval'. Scientometrics 102 (3) pp2301-2322.
    Publisher
    Springer Verlag
    Journal
    Scientometrics
    URI
    http://hdl.handle.net/10547/333147
    DOI
    10.1007/s11192-014-1478-1
    Additional Links
    http://link.springer.com/article/10.1007/s11192-014-1478-1
    Type
    Article
    Language
    en
    ISSN
    0138-9130
    ae974a485f413a2113503eed53cd6c53
    10.1007/s11192-014-1478-1
    Scopus Count
    Collections
    Centre for Research in Distributed Technologies (CREDIT)

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