Proposal of follow user recommendation system on Twitter based on interest domain

In recent years, with the rapid spread of SNS, communication via social networks has become very active. Twitter users transmit information by posting messages, called Tweets, of fewer than 140 characters. Using a feature called Follow, users can obtain information posted by follow user according to their own interests. When using Twitter, it is difficult for users to find appropriate users to follow among the vastly numerous users. To solve this problem, we propose a follow user recommendation system on Twitter based on an interest domain. Moreover, we demonstrate the effectiveness of the proposed method through experimentation.