An efficient latent-factor-based approach to social relationship recommendation

Social relationship recommenders aim at predicting potential useful relationships with high accuracy and efficiency, which is critically important in social network services for addressing information overload. Existing relationship recommenders mostly emphasize on friend recommendation in online social networks, which can not satisfy the requirements of industrial information systems. This work proposes an efficient latent-factor (LF)-based...