A Personalized RSS News Filtering Agent

  • Weiqin Chen
  • Torbjørn Bøen
Conference paper

DOI: 10.1007/978-1-84800-086-5_25

Cite this paper as:
Chen W., Bøen T. (2008) A Personalized RSS News Filtering Agent. In: Ellis R., Allen T., Petridis M. (eds) Applications and Innovations in Intelligent Systems XV. Springer, London

Abstract

The RSS news Aggregators is becoming more and more popular among Internet users. These Aggregators download news feeds from online news websites and provide an interface for users to view and organize them. Users can subscribe to numerous feeds. When they add more sources the amount of news feeds becomes more difficult to manage. The users then experience information overload. In order to tackle the RSS overload problem, Fido, an interface agent, is designed to filter news based on user preferences and feedback and presents personalized RSS news items to the users. This paper presents the main features of Fido and design rationale behind it.

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Copyright information

© Springer-Verlag London Limited 2008

Authors and Affiliations

  • Weiqin Chen
    • 1
  • Torbjørn Bøen
    • 1
  1. 1.University of Bergen

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