A simple yet effective method for summarizing microblogging users with their representative tweets

Abstract

Fast diffusion of information makes microblogging an efficient platform for seeking information, and the most convenient way for a user to get useful information is following others and in real time the updates of the followed users will be presented automatically. Deciding to follow or not to follow a user is usually based on this user's tweet content, because users usually try to find friends who post information relevant to their interests. Since reading through all tweets of a user is very time-consuming, we need to design a convenient user summarization form. In this paper, we design a model for summarizing users with their most representative tweets. The experimental results on Sina-weibo, one of the most popular microblogging sites in China, show our model can get a better performance than baseline methods.