Using Genetics in Information Filtering

Authors

  • Max Höfferer Universität Wien (University of Vienna)
  • Bernd Knaus Universität Wien (University of Vienna)
  • Werner Winiwarter Universität Wien (University of Vienna)

DOI:

https://doi.org/10.29173/cais728

Abstract

From the 1994 CAIS Conference:
The Information Industry in Transition
McGill University, Montreal, Quebec. May 25 - 27, 1994.

Adaptive filtering of information involves modelling the user's behavior and learning from feedback. This paper describes the design of a cognitive information filtering system that applies (1) linguistic analysis to obtain consistent representations of the contents of messages, (2) an evolutionary algorithm for prioritizing morphologically parsed e-mails and (3) a monitor to simulate cognitive user behavior.

Author Biographies

Max Höfferer, Universität Wien (University of Vienna)

Institute of Applied Computer Science and Information Systems

Bernd Knaus, Universität Wien (University of Vienna)

Institute of Applied Computer Science and Information Systems

Werner Winiwarter, Universität Wien (University of Vienna)

Institute of Applied Computer Science and Information Systems

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Published

2013-11-01

How to Cite

Höfferer, M., Knaus, B., & Winiwarter, W. (2013). Using Genetics in Information Filtering. Proceedings of the Annual Conference of CAIS Actes Du congrès Annuel De l’ACSI. https://doi.org/10.29173/cais728

Issue

1994

Section

Articles