Abstract
With the expansion of the Internet, the amount of information available is continuously reaching higher growth rates. This fact leads to the necessity of developing new advanced tools to collect and filter information that meets users’ preferences. This paper presents an agent that uses automatic indexing, concept space generation, and a Hopfield artificial neural network to filter web pages according to users’ interests. The experiments that were conducted to evaluate the agent show that it has very satisfactory precision and coverage rates.
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References
Salton, G., McGill, M.J.: The SMART and SIRE Experimental Retrieval Systems. In: Readings in Information Retrieval, pp. 381–399. Morgan Kaufmann Publishers, San Francisco (1997)
Yan, T.W., Garcia-Molina, H.: The SIFT Information Dissemination System. ACM Transactions on Database Systems 24(4), 529–565 (1999)
Paice, C.D.: Another Stemer. SIGIR Forum 24(3), 56–61 (1990)
Chen, H., Hsu, P., Orwig, R., Hoopes, I., Nunamaker, J.F.: Automatic Concept Classification of Text from Electronic Meetings. C. ACM 37(10), 56–73 (1994)
Hopfield, J.J.: Neural Network and Physical Systems with Collective Computational Abilities. In: Proceedings of the National Academy of Science, USA, vol. 79(4), pp. 2554–2558 (1982)
Rijsbergen, C.J.: Information Retrieval. Butterworths, London (1979)
Vallim, M.S., Adán Coello, J.M.: An Agent for Web Information Dissemination Based on a Genetic Algorithm. In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (October 5-8, 2003)
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© 2007 Springer-Verlag Berlin Heidelberg
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Adán-Coello, J.M., Tobar, C.M., de Freitas, R.L., Marin, A. (2007). Hopfilter: An Agent for Filtering Web Pages Based on the Hopfield Artificial Neural Network Model. In: Cooper, R., Kennedy, J. (eds) Data Management. Data, Data Everywhere. BNCOD 2007. Lecture Notes in Computer Science, vol 4587. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73390-4_16
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DOI: https://doi.org/10.1007/978-3-540-73390-4_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73389-8
Online ISBN: 978-3-540-73390-4
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