Applying evolutionary algorithms to the problem of information filtering
A Min Tjoa, Max Höfferer, G. Ehrentraut, P. Untersmeyer · 2002
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.