Abstract
This paper presents partial results of an experimental investigation concerning the use of Neural Networks in associative adaptive Information Retrieval. The learning and generalisation capabilities of the Backpropagation learning procedure are used to build up and employ application domain knowledge in the form of a sub-symbolic knowledge representation. The knowledge is acquired from examples of queries and relevant documents of the collection. In this paper the architecture of the system is presented and the results of the experimentation are briefly reported.
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References
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© 1993 Springer-Verlag Berlin Heidelberg
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Crestani, F. (1993). An adaptive information retrieval system based on Neural Networks. In: Mira, J., Cabestany, J., Prieto, A. (eds) New Trends in Neural Computation. IWANN 1993. Lecture Notes in Computer Science, vol 686. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56798-4_229
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DOI: https://doi.org/10.1007/3-540-56798-4_229
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Online ISBN: 978-3-540-47741-9
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