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Microblogging services such as Twitter and Tencent Weibo have enjoyed drastic popularity in the latest few years. Recommender is essential to those microblogs as a means to find items (users or other information sources such as organizations) that might interest a user to follow. It can greatly improve user experience as well as reduce the risk of information overload might be introduced by irrelevant followees. In this paper, we examine some of the most influential factors that user mightdoi:10.1109/socialinformatics.2012.74 dblp:conf/socialinformatics/WuSP12 fatcat:nsqpmd7tangyzfyu2yeemvlwbm