Abstract
In this paper, we propose a new keyword extraction method for generation a user profile using collected papers without using a large corpus. We assume that a user’s interest exists in papers. Our method can extract keywords that can express user’s interest in papers that user’s interest exit. Our method can be used for enhancing the paper collection and sharing system, MiDoc. In MiDoc, user profiles are automatically constructed by using the method. We conducted several experiments to show how effectively our method can extract keywords that represent user’s interests. In the experiment, our method was compared with the exsiting methods. The results lead to the conclusion that the method can effectively extract keywords that represent user’s interests. In this paper, We define user profile is keywords that express user’s interest.
