Abstract
We present a method for representing and applying local views in multi-user information retrieval systems. Such views allow end users to express their information needs in queries using their own preferred vocabulary of subject terms. Central to this approach is a similarity matrix which is used to relate the local user vocabulary to the primary vocabulary used by the host system. The similarity matrix determines the overall degree to which a document represented at the host matches the information needs as represented by a query. The computations involved are performed in low order polynomial time and space. We briefly discuss the knowledge combination operators applied and some computational improvements of the method. Finally, we suggest an efficient way for interfacing the method to traditional information retrieval systems.
Supported in part by Teknologirådet (the Danish Technology Council) under ATV grant No. TS-9.
Supported in part the Airforce Office of Scientific Research.
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© 1990 Kluwer Academic Publishers
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Larsen, H.L., Yager, R.R. (1990). An approach to customized end-user views in multi-user information retrieval systems. In: Kacprzyk, J., Fedrizzi, M. (eds) Multiperson Decision Making Models Using Fuzzy Sets and Possibility Theory. Theory and Decision Library, vol 18. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-2109-2_12
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DOI: https://doi.org/10.1007/978-94-009-2109-2_12
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-7448-3
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