Rule Extraction from Blog using Inductive Logic Programming

Abstract

Information recommendation system attempts to present information that is likely to be useful for the user. Showing recommendation reason is an important role of the system. However, current recommendation system shows very simple or quantitative explanation. In this paper, we aim at showing the recommendation reason that is precise, non-quantitative, and easy to understand. We make use of predicate logic form rules for recommendation and showing reason. In order to perform such recommendation, we use Inductive Logic Programming. We succeed to extract several useful rules from\nBlog.