Applying Evolutionary Algorithms to the Problem of Information Filtering

  • Authors:

  • A. M. Tjoa;M. Höfferer;G. Ehrentraut;P. Untersmeyer

  • Affiliations:

  • -;-;-;-

  • Venue:
  • DEXA '97 Proceedings of the 8th International Workshop on Database and Expert Systems Applications
  • Year:
  • 1997

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Abstract

This paper presents an intelligent information filtering system that learns from user feedback and behavior through evolutionary algorithms. By applying the learning abilities of a Classifier System and Genetic Algorithms to the system the following tasks can be performed:(1) reducing a user's information overload (2) predicts the actions that the users are supposed to do and (3) prioritizing of emails