Personalized News Access

  • D. G. Kaklamanos
  • K. G. Margaritis


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].


News Story Registration Form High Level Classification Personalized Access Null Probability 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. [1]
    Ardissono, L., Console, L., and Torre, I. (2001) An adaptive System for the personalized access to news. AI Communications 14: 129–147.Google Scholar
  2. [2]
    Billsus, D., Pazzani, M., (1999) A personal news agent that talks, learns and explains. Autonomous Agents 1999, pp. 268–275.Google Scholar
  3. [3]
    Joachims, T., Freitag, G., Mitchell, T. (1997) Web-Wacher: a tour guide for the world wide web. IJCAI, 1997, pp 770–775.Google Scholar
  4. [4]
    Rich, E, (1989) User Models in Dialog Systems, chapter Stereotypes and user modeling, Springer, Wien.Google Scholar

Copyright information

© Springer-Verlag/Wien 2005

Authors and Affiliations

  • D. G. Kaklamanos
    • 1
  • K. G. Margaritis
    • 1
  1. 1.Parallel and Distributed Processing LaboratoryUniversity of MacedoniaGreece

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