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PersoNews: A Personalized News Reader Enhanced by Machine Learning and Semantic Filtering

  • E. Banos
  • I. Katakis
  • N. Bassiliades
  • G. Tsoumakas
  • I. Vlahavas
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4275)

Abstract

In this paper, we present a web-based, machine-learning enhanced news reader (PersoNews). The main advantages of PersoNews are the aggregation of many different news sources, machine learning filtering offering personalization not only per user but also for every feed a user is subscribed to, and finally the ability for every user to watch a more abstracted topic of interest by employing a simple form of semantic filtering through a taxonomy of topics.

Keywords

Text Classification News Article Information Overload Concept Drift News Source 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • E. Banos
    • 1
  • I. Katakis
    • 1
  • N. Bassiliades
    • 1
  • G. Tsoumakas
    • 1
  • I. Vlahavas
    • 1
  1. 1.Department of InformaticsAristotle University of ThessalonikiThessalonikiGreece

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