Exact age prediction in social networks

Predicting accurate demographic information about the users of information systems is a problem of interest in personal- ized search, ad targeting, and other relatedfields. Despite such broad applications, most existing work only considers age prediction as one ofspecification, typically into only a few broad categories. Here, we consider the problem of exact age prediction in social networks as one of regression. Our proposed method learns social representations which capture community in- formation for use as covariates. In our preliminary exper- iments on a large real-world social network, it can predict age within 4.15 years on average, strongly outperforming standard network regression techniques when labeled data is sparse.