Social recommendation via deep neural network-based multi-task learning

Xiaodong Feng, Zhen Liu, Wenbing Wu, Wenbo Zuo

Abstract: Highlights•A social recommendation model (SoNeuMF) based on deep learning is proposed.•SoNeuMF simultaneously models social and item interactions by neural networks.•User representation in two tasks is shared to enhance the social recommendation list.•Experiments show the improvement over baselines especially on cold-start users.