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Applying evolutionary algorithms to the problem of information filtering

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4 Author(s)
A. M. Tjoa ; Inst. of Software Technol., Vienna Univ. of Technol., Austria ; M. Hofferer ; G. Ehrentraut ; P. Untersmeyer

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) predicting the actions that the users are supposed to do; and (3) prioritizing electronic mail.

Published in:

Database and Expert Systems Applications, 1997. Proceedings., Eighth International Workshop on

Date of Conference:

1-2 Sept. 1997