Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
In this paper, we proposed the system that extracts only the track back to the blog related to the content of the original article from among the track back, and developed the system as extension of Firefox. The flow of this system is as follow. The proposed system traces the track backs, analyzes the original article and the track back articles, calculates the evaluation value of each article, and judges the tarack back relations by evaluation values. To evaluate the proposed system, we applied it to various blogs, and it was confirmed to be able to extract the track backs with the relation as a result of the experiment. Especially, the track back spam was able to be filtered. Because it is difficult to judge the relation between the article and the article.we extracted only storongly-relation in the our experiment, so the proposed system sometimes filtered the article wanted to read by the user. We will improve the extraction algorithm in the future.
