Abstract
This paper proposes a method creating a user profile for an information filtering system by genetic algorithm. Generally. user's interest is wide-ranged and unclear. In an information retrieval, it is difficult that a user expresses his query with suitable keywords. A proposed method extracts a user's perference from the documents which the user has read and evaluated. In addition, this method efficiently expores a search space for a user perference. This method uses simple genetic algorithm. We develop an information filtering system. and evaluate selection capability by this method. Finally, we compare this method with a relevance feedback in selection accuracy.