Abstract
PENA (Personalized News Access) is an adaptive system for the personalized access to news. The aims of the system are to collect news from predefined news sites, to select the sections and news in the server that are most relevant for each user and to present the selected news. In this paper are described the news collection process, the techniques adopted for structuring the news archive, the creation, maintenance and update of the user model and the generation of the personalized web pages. This is a preliminary work that is based on the system that is described in [1].
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References
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Kaklamanos, D.G., Margaritis, K.G. (2005). Personalized News Access. In: Ribeiro, B., Albrecht, R.F., Dobnikar, A., Pearson, D.W., Steele, N.C. (eds) Adaptive and Natural Computing Algorithms. Springer, Vienna. https://doi.org/10.1007/3-211-27389-1_96
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DOI: https://doi.org/10.1007/3-211-27389-1_96
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-24934-5
Online ISBN: 978-3-211-27389-0
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