Abstract
This paper describes an Information Retrieval System (IRS) based on the neural approach. Our goal is to construct an IRS able to evolve. We propose a network containing document, term and author nodes and a set of links between these different nodes. A set of activation/propagation rules on which is based the information retrieval and the queries expansion are presented. At last, we propose a learning strategy inspired by the backpropagation algorithm for dynamically organizing the information base.
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© 1994 Springer-Verlag Berlin Heidelberg
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Layaida, R., Boughanem, M., Caron, A. (1994). Constructing an Information Retrieval System with neural networks. In: Karagiannis, D. (eds) Database and Expert Systems Applications. DEXA 1994. Lecture Notes in Computer Science, vol 856. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58435-8_222
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DOI: https://doi.org/10.1007/3-540-58435-8_222
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