Multi-relational matrix factorization using bayesian personalized ranking for social network data

This work proposes a formalization of the cold-start problem and a principled approach to it based on multi-relational factorization techniques, and derives a principled feature extraction scheme from the social data to extract predictors for a classifier on the target relation.