A central machine learning problem in user interest modeling is to learn what topics users in a social network (such as Twitter) are interested in. Indeed, this is a critical part of understanding users’ behavior. If performed with reasonable precision, it can be exploited in a wide range of applications. Much of the previous work on this problem involves computationally expensive text processi...